This job post is closed and the position is probably filled. Please do not apply. Work for Lemon.io and want to re-open this job? Use the edit link in the email when you posted the job!
We also have an ASAP project for a Senior Backend Developer for an AI GRC company (Python and Node.js) (only European timezone) with a rate up to $40/hour.
Are you a talented senior engineer looking for a remote job that lets you show your skills and get better compensation and career growth? Look no further than Lemon.io - the marketplace that connects you with hand-picked startups in the US and Europe.
What do we offer:
- We respect your time: here is no micromanagement or screen trackers. - You can earn with us $5k - $8.5k monthly - the rate depends on your skills and experience. We've already paid out over $10M to our engineers. - You will enjoy your work - it’s possible to communicate async and choose a schedule that works best for you. - You will communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah? - We will support you from the time when the application will be started during all our cooperation. - No more hunting for clients or negotiating rates - let us handle the business side of things so you can focus on what you do best. - We'll manually find you the best project according to your skills and preferences. - You will work at the fast-paced startup environment that will keep you motivated and engaged. - We will connect you with the best developers in the world through our community.
We also collaborate with other companies through staff augmentation. More details are [here](https://lemon.io/partnership-with-lemonio/).
Who we are looking for:
- Senior/Senior+ Data Scientist & Data Engineer.
Also we are seeking for:
- Senior/Senior+ ML & Data Scientist - Senior/Senior+ AI & Data Scientist - Senior/Senior+ AI & ML
Requirements:
- Proven experience in either Data Science or Data Engineering, with a minimum of 3 years of hands-on experience. - At least 2 years of commercial experince with AI/ML. - Hands-on experience with Python. - Experience with AWS/GCP/Azure, SQL, and Airflow is a must - Familiarity with NoSQL databases. - Hands-on experience with the following technologies Spark, Hadoop, PowerBI, and Lookeri BigQuery would be a huge plus. - Ability to work with large datasets and write efficient code capable of processing and analyzing data at scale. - Strong analytical and problem-solving skills, with the ability to extract insights and patterns from complex data. - Good command of English, both written and spoken, as you’ll be communicating with clients directly - Strong organizational skills — ability to work full-time remotely with no supervision - Responsibility — we want to trust you - Soft skills — we value clear and effective communication, at the same time, don't force you becoming a public speaker
ALSO, we have a large number of different projects for Senior Full-Stack Developers, so if you have 4+ years of commercial experience in software development you are fluent with Python, Ruby on Rails, React.js or React Native - we would be happy to communicate and provide you a project which matches with your experience. Just apply, and we will share with you more details.
Ready to take your career to the next level? Apply now and join the Lemon.io community!
If your experience matches with our requirements be ready for the next steps:
- VideoAsk (about 10 minutes) - Completing your me.lemon profile - 30 minutes Screening call with our Recruiters - Technical Interview with our Developers - Feedback - Magic Box (we are looking for best project for you)
P.S. We work with developers from 59 countries in different regions: Europe, LATAM, Asia (Philippines, Indonesia), Oceania (Australia, New Zealand, Papua New Guinea), Canada and the UK. However, we have some exceptions.
At the moment, we don’t have a legal basis to accept applicants from certain European countries: Albania, Belarus, Bosnia and Herzegovina, Croatia, Iceland, Liechtenstein, Kosovo, Montenegro, North Macedonia, Russia, Serbia, and Slovenia. Additionally, there are a few countries in Latin America from which we cannot accept applicants: Cuba and Nicaragua, as well as most Asian countries. Furthermore, we are unable to accept applicants from Africa.
Please note that due to the overwhelming number of applications, only suitable candidates will be contacted for an interview.
We strongly ask you to send your CVs in ENGLISH. Application in English will be considered first. Good luck to everyone!
Please mention the word STRIKING when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDc=). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$60,000 — $90,000/year
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for NannyML and want to re-open this job? Use the edit link in the email when you posted the job!
Description
NannyML, a European VC backed ML monitoring startup, is looking for their first Data Science Writer to turn into the uncontested thought leader on ML monitoring.
About Us
NannyML is an early stage venture funded start-up. We are backed by tech leaders that have founded and grown top data unicorns like the CEO of Datacamp and CTO of Collibra (first Belgian unicorn). At NannyML, we build software for supervising and correcting ML systems in production. We’re creating a one of a kind company by being one of the initial players in the growing ML Monitoring field. By focusing on post deployment Data Science and performance estimation we’ll define the industry for decades to come.
The founders are experienced entrepreneurs that previously founded a specialized machine learning company, where they became experts at building machine learning systems. At NannyML, we take pride in hiring the best people and getting out of their way so that they can make things happen.
About the Role
We are looking for a Senior Data Science Content Creator to shape the content strategy and conceptualize, create and publish content about ML monitoring. You will turn NannyML into the go-to source about ML monitoring and performance estimation. As we grow at NannyML we expect you to grow with us into a Head of Content or a similar role. You will have the opportunity to have a significant impact in the areas of content, marketing, product, research, hiring and people management, among others. You will be actively supported in your growth, by a team who will collaborate to bring about the impact you lead on.
Responsibilities
Work closely with the founders, Research and Product teams to shape the content mission, vision and strategy.
Take full ownership of content discovery, creation and publishing. Ensure our content is high quality, easy to understand and relevant to Data Scientists working with ML in production.
Build a content backlog by doing independent research about ML monitoring and participating in Research and Product team meetings to capture insights discovered by them.
Turn raw insights into great content. Write core content, create interactive visualizations and code to ensure NannyML becomes uncontested thought leader in ML Monitoring.
Manage the content calendar and publishing process together with the growth team to maximize the reach of our content and the engagement of our audience.
Collect insights about how our audience interacts with the content to improve the content strategy and inform product decisions.
Help develop new internal tools, frameworks, and processes to facilitate content discovery, creation and publishing.
Requirements
Portfolio of successful and advanced Data Science content, including written longform content like blogs.
Deep theoretical and practical understanding of Machine Learning, including hands-on experience developing production-ready ML algorithms in Python.
You are extremely proactive, independent and comfortable in proposing new ideas. This also means holding your ground when you believe you are right.
Exceptional communication skills in English - both oral and written.
You live in or are willing to move to EU time zones and you are open to travel occasionally.
Nice to have
Masters or PhD degree in a STEM related field
Formal education in content creation related field.
Experience working at a data-focused startup
3+ years of previous experience as content creator/writer or a Data Scientist.
Benefits
Fully Remote Working Environment
23+ Days of Planned Leave Annually
4000 Eur to choose your own hardware
Paid sick leave and private healthcare plan
We support paid parental leave
Home office, work and well-being allowances (for yoga, gym etc.), and other nice benefits. Total value +12,000€/year.
Compensation: up to 65,000 EUR/year + equity
Our Values
We value freedom with responsibility, transparency and a growth mindset. We believe in generating our own luck by trying out new stuff, always asking, constantly learning, reading and meeting new people with different world-views. We appreciate that from time to time, things may break in the process. Working at NannyML, you will have full autonomy to make impactful decisions and prioritise and organise your work the way you see fit. You will work closely with the founders.
❤ Why you will love to join NannyML
We are a rocketship 🚀
Working with a fast-growing international open source startup with flat structure
You will have full ownership of the things you work on, this includes a stake in the company
Your experience and expertise will be respected and appreciated by a team who are also eager to learn
Fully remote work, with as many opportunities to meet up as you want!
😡 What you might not love
We're a small team, priorities will keep on changing and processes are not fine-tuned yet
Really fast-paced environment with a LOT of work to be done
You will have to learn new things all the time
Please mention the word UNDAUNTED when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDc=). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$70,000 — $90,000/year
Location
Worldwide
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Ampcontrol.io and want to re-open this job? Use the edit link in the email when you posted the job!
# Ampcontrol - Python Developer\n\n## 🚀About [Ampcontrol](https://www.ampcontrol.io/)\n\nWe're Ampcontrol, building AI-powered software for optimizing electric vehicle (EV) charging.\n\nWe are a venture backed remote team of engineers and energy experts based in the U.S and Europe building the new way of EV charging. Our primary goals are to enable companies to provide higher capacity charging on existing infrastructure as well as optimization of fleet charging logistics.\n\n([link to website](https://www.ampcontrol.io/))\n\n## 🌎 Our Mission\n\nWe're on a mission to help the automotive industry transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## 💻 The Role\n\n- All levels of experience. The position will be accordingly\n- You'll be building and improving our python backend system, including the core optimization system and our customer facing APIs\n- Maintain and improve test environment\n- Develop our Python3/FastAPI service further, with an eye on performance and scalability\n- Work with data scientists to build a stable and powerful architecture for ML-applications for real-time optimization\n- Build, maintain, migrate databases and accommodate time-series data\n- Write clean and easily maintainable code for our optimization engine with a focus on reliability and scalability\n\n## ⭐ You have\n\n- Professional experience in python software development or QA engineering\n- Experience in at least one cloud computing platform\n- A good understanding of DevOps tools and methods, including end-to-end testing\n- Fluency in English for verbal and written communication is required\n- Motivated to work in the electric vehicles and sustainability industries\n- Experience with PostgreSQL and Redis preferred\n\n\n## 📍 Location\n\n**We're a remote team.** You can work from America, United States, Canada, Europe. \n\nPlease mention the word **FLUENT** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDc=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n
$50,000 — $130,000/year\n
\n\n#Location\nWorldwide
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Clevertech and want to re-open this job? Use the edit link in the email when you posted the job!
Our 100% remote team of 200+ CleverPeople are seasoned yet friendly professionals who want to collaborate and welcome you. We have an exciting new opening for a **Sr Data Scientist - Custom Text Search.**\n\n**What we're working on**\nEnterprise companies turn to us to help them launch innovative digital products that interact with hundreds of millions of customers, transactions and data points. The problems we solve everyday are real and require creativity, grit and determination. We are building a culture that challenges norms while fostering experimentation and personal growth. We are hiring team members who are passionate and energized by the vision of empowering our customers in a complex industry through technology, data and a deep understanding of client concerns. In order to grasp the scale of problems we face, ideally you have some exposure to Logistics, FinTech, Transportation, Insurance, Media or other complex multifactor industries.\n\n**Requirements**\n* 7+ years experience in a senior developer role using Python; ideally, you have delivered business-critical software to large enterprises\n* Experience creating a custom full-text search that analyzes multiple strings\n* You are comfortable manipulating large data sets\n* Experience using technologies such as Airflow, Spark, Kafka, AWS Glue and StreamSets\n* Ecommerce industry experience preferred\n* English fluency, verbal and written\n* Personality traits: Professional, problem solver, proactive, passionate, team player. \n\nPlease mention the words **SOCIAL RESULT MATH** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDc=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n
$60,000 — $110,000/year\n
\n\n#Location\nWorldwide
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Iterative and want to re-open this job? Use the edit link in the email when you posted the job!
We’re a company that makes open source tools for data science and machine learning. You might know us from popular tools like [DVC](https://dvc.org) (Data Version Control) and [CML](https://cml.dev) (Continuous Machine Learning), or our [YouTube channel](https://www.youtube.com/channel/UC37rp97Go-xIX3aNFVHhXfQ). Our team is small, remote-first, and passionate about creating best practices for managing the complexities of data science.\n\nWe’re seeking a Developer Advocate to help us sustain and grow our active, worldwide community! \n\n## Job description\nAs an open source project, our community is everything. Our code, docs and outreach activities are fueled by community contributions, and user feedback is a huge driver for our product development. We invest heavily in building relationships with data scientists, engineers and developers around the world, from brand new contributors making their first pull request to longtime users working out a special use case. \n\nThe ideal candidate will:\n- Craft blog posts, release notes, and newsletters to share exciting developments on our projects, amazing contributions, and important technical Q&As. \n- Turn frequently-asked questions in the community into reusable resources, like tutorials and use-cases\n- Be a connector and maintain an engaged presence online. Respond to timely discussions and questions on social media and design shareable, creative campaigns for regular tweets and posts. \n- Enable community members of all skill levels to get involved. Welcome newcomers and encourage creative contributions. When folks make videos, blogs, or projects with our tools, help them boost the signal.\n- Lead community-building events like virtual meetups and present at relevant industry conferences\n- Be analytical and data-driven in creating useful content for the community. Define, report and analyze metrics to understand our community’s needs and interests.\n\n## Skills we’re looking for\n- Experience in either data science or open source software.\n- Experience blogging or publishing technical content online. Bonus points if it’s related to open source or data science. \n- Experience building and/or managing a technical community.\n- Understanding of Git, Git-flow and CI/CD. You don’t have to be a superuser, but we make tools built around Git and you’ll need to know how to use them.\n- Strong communication skills. Everyone on our team, from engineers to developer advocates, needs to be able to communicate over digital - platforms kindly and clearly.\n- Proficient written and spoken English is required. \n \n### Mega bonus skills\n- Knowledge of our tools and the MLOps space\n- A strong existing network in data science or open source\n\n### Perks\n- A fully remote job with a competitive salary and benefits package.\n- Our team culture is family-friendly. Our leadership includes several working parents, and our health insurance and unlimited PTO policies are designed with families in mind.\n- This role can grow with you. There are plenty of opportunities for leadership and autonomy in our small team! \n- Impact- you get to work on projects that are used every day by teams around the world! DVC and CML are used by researchers and data science teams across tech, finance, and government organizations. \n- You will get a [DeeVee](https://twitter.com/DVCorg/status/1314668966082572288/photo/1). \n\nPlease mention the words **BUILD CRUISE ARMOR** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDc=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Location\nWorldwide
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Ampcontrol and want to re-open this job? Use the edit link in the email when you posted the job!
## 🚀About [Ampcontrol](https://www.ampcontrol.io/)\n\nWe're Ampcontrol, building AI-powered software for electric vehicle (EV) charging.\n\nWe are a venture backed remote team of engineers and energy experts based in Europe and the U.S building the new way of EV charging. Our primary goals are to enable companies to provide higher capacity charging on existing infrastructure as well as optimization of fleet charging logistics.\n\n([link to website](https://www.ampcontrol.io/))\n\n## 🌎 Our Mission\n\nWe're on a mission to help the automotive industry transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## 💻 The Role\n\n- You'll be responsible for building, maintaining and improving our optimization algorithms, models, and simulation tools\n- You can help us select optimization methods from exact methods, metaheuristics, learning models and pro-actively look for possibilities to combine them\n- Develop our algorithms in Python, with an eye on performance and scalability\n- Work with software engineers to build a stable and powerful applications for real-time optimization\n- Monitor and evaluate the performance of algorithms\n- Write clean and easily maintainable code for our optimization engine\n\n## ⭐ You have\n\n- Professional Operations Research experience in algorithms and optimization problems with time-series data\n- Passion for mathematics and statistics\n- A pro-active approach to work – brining us problems and ideas for solutions in the same time\n- Experience with deploying algorithms in production systems\n- Experience in at least a couple of data science tools such as NumPy, Pandas, Gekko, and similar\n- A good understanding in energy technologies and markets is a plus\n- Fluency in English for verbal and written communication is required\n- Motivation to work on electric vehicles and sustainability\n \n\nPlease mention the words **NAME ENERGY SCRIPT** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDc=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n
$40,000 — $140,000/year\n
\n\n#Location\nWorldwide
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
## 🚀About [Ampcontrol](https://www.ampcontrol.io/)\n\nWe're Ampcontrol, building AI-powered software for electric vehicle (EV) charging.\n\nWe are a venture backed remote team of engineers and energy experts based in Europe and the U.S building the new way of EV charging. Our primary goals are to enable companies to provide higher capacity charging on existing infrastructure as well as optimization of fleet charging logistics.\n\n([link to website](https://www.ampcontrol.io/))\n\n## 🌎 Our Mission\n\nWe're on a mission to help the automotive industry transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## 💻 The Role\n\n- You'll be responsible for building, maintaining and improving our optimization algorithms, models, and simulation tools\n- You can help us select optimization methods from exact methods, metaheuristics, learning models and pro-actively look for possibilities to combine them\n- Develop our algorithms in Python, with an eye on performance and scalability\n- Work with software engineers to build a stable and powerful applications for real-time optimization\n- Monitor and evaluate the performance of algorithms\n- Write clean and easily maintainable code for our optimization engine\n\n## ⭐ You have\n\n- Professional experience in algorithms and optimization problems with time-series data\n- Passion for mathematics and statistics\n- A pro-active approach to work – brining us problems and ideas for solutions in the same time\n- Experience with deploying algorithms in production systems\n- Experience in at least a couple of data science tools such as NumPy, Pandas, Gekko, and similar\n- A good understanding in energy technologies and markets is a plus\n- Fluency in English for verbal and written communication is required\n- Motivation to work on electric vehicles and sustainability\n\n \n\nPlease mention the words **CASTLE MEAN AROUND** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDc=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n
$50,000 — $120,000/year\n
\n\n#Location\nWorldwide
# How do you apply?\n\nJust message and resume to [email protected].\n\nSend it along with your github account if you have one or a piece of code and if you want to stand out - answer one of the following questions.\n\n- What surprising thing have you learned in the last few months?\n- What is a project you're most proud of and why?\n- What is your favorite Data Science book or online resource?
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
# About the Role\n\nWe are looking for a Senior Data Scientist to help us prototype and implement AI monitoring systems. You will work along with a team of experienced Data Scientists, Data Engineers and Software Engineers. You will be responsible for implementing AI monitoring algorithms. As we grow NannyML, we expect you to grow with us. We envision your path may grow from your position into ML Engineering Team Lead. You will get meaningfully involved in the areas of product, engineering, hiring and people management among others.\n\n## Responsibilities\n\n* Research, prototype and implement Drift Detection algorithms, time-series anomaly detection, and other ML monitoring algorithms.\n* Tackle new research and ML problems and implement efficient and effective solutions.\n* Take part in customer meetings and help with client on-boarding to fully understand and fulfill their needs.\n* Help design and develop new internal tools to facilitate product development and algorithmic research.\n* Work closely with the founding to help define the technical roadmap.\n\n# About Us\n\nNannyML is an early stage [venture funded](https://www.eu-startups.com/2020/10/belgian-ai-monitoring-startup-nannyml-secures-e1-million-to-bridge-the-gap-between-ai-and-business/) start-up. At NannyML we build enterprise software for supervising and correcting ML systems in production. That includes detecting data and concept drift, estimating performance loss and suggesting corrective actions and a dashboard that presents all these insights for business and technical users. Our goal is to ensure that ML systems keep adding value and that insights that we extract from ML systems are clearly communicated to business stakeholders. We want to make ML in production effortless to interact with and extract value from.\n\n## Our values\n\nWe value freedom with responsibility, transparency and a growth mindset. We believe in generating our own luck by trying out new stuff, always asking, constantly learning, reading and meeting new people with different world-views. We value trying new things, and appreciate that from time to time things may break in the process. Working at NannyML you will have full autonomy to make impactful decisions and prioritise and organise your work the way you see fit. You will be working closely with the founding team. The team previously founded a specialized machine learning company, where they became experts at building machine learning systems.\n\n# Basic Requirements\n\n* Ignore everything below (including the compensation) if you have significant hands-on experience in AI monitoring\n* 3+ years of previous experience developing production ready Machine Learning models on tabular or time-series data\n* Deep understanding of statistical methods and modern ML algorithms and experience evaluating the suitability of various approaches for a use case\n* Strong experience in Python data stack and ML deployment technologies\n* Software engineering best practices, version control, containerization and testing\n* Exceptional communication skills in English - both oral and written\n* You are extremely proactive, independent and comfortable with proposing new ideas — and holding your ground when you believe you are right\n* You live in or are willing and able to relocate to EU time zones and you are open to travel occasionally\n\n## Nice to haves\n\n* ML publications, popular technical blog or significant open source contributions\n* Familiarity with model risk management, model monitoring or model maintenance\n* Masters or PhD degree in a STEM related field\n* Experience working at a data-focused startup\n\n# Benefits\n* Fully Remote Working Environment\n* 23+ Days of Planned Leave Annually\n* Paid sick leave and private healthcare plan\n* We support paid parental leave\n* Home office, work and well-being allowances (for yoga, gym etc.) and other nice benefits\n* Compensation: up to 85,000 EUR/year + equity \n\nPlease mention the words **COYOTE STAMP VIOLIN** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDc=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n
$60,000 — $100,000/year\n
\n\n#Location\nEurope
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
We’re a company that makes open source tools for data science and machine learning. You might know us from popular tools like [DVC](https://dvc.org) (Data Version Control) and [CML](https://cml.dev) (Continuous Machine Learning), or our [YouTube channel](https://www.youtube.com/channel/UC37rp97Go-xIX3aNFVHhXfQ?). Our team is small, remote-first, and passionate about creating best practices for managing the complexities of data science.\n\nWe’re seeking a **Technical Community Manager** to help us sustain and grow our active, worldwide community! \n\n## Job description\nAs an open source project, our community is everything. Our code, docs and outreach activities are fueled by community contributions, and user feedback is a huge driver for our product development. We invest heavily in building relationships with data scientists, engineers and developers around the world, from brand new contributors making their first pull request to longtime users working out a special use case. \n\nThe ideal candidate will:\n\n* Enable community members of all skill levels to get involved. Welcome newcomers and encourage creative contributions. When folks make videos, blogs, or projects with our tools, help them boost the signal.\n* Be a connector and maintain an engaged presence online. Respond to timely discussions and questions on social media and design shareable, creative campaigns for regular tweets and posts. \n* Make blog posts, release notes, and newsletters to share exciting developments on our projects, amazing contributions, and important technical Q&As. \n* Turn frequently-asked questions in the community into reusable resources, like tutorials and use-cases\n* Lead community-building events like virtual meetups and our ambassador program. \n* Be analytical and data-driven in building and nurturing the community. Define, report and analyze metrics to understand our community’s needs and growth. \n\n\n## Skills we’re looking for\n* Experience in either **data science or open source software**.\n* Experience building and/or managing a ** technical community**.\n* Understanding of Git, Git-flow and CI/CD. You don’t have to be a superuser, but we make tools built around Git and you’ll need to know how to use them.\n* Experience blogging or publishing technical content online. Bonus points if it’s related to open source or data science. \n* Strong communication skills. Everyone on our team, from engineers to developer advocates, needs to be able to communicate over digital platforms kindly and clearly.\n* Proficient written and spoken English is required. \n \n**Mega bonus skills**\n* Knowledge of our tools and the MLOps space\n* A strong existing network in data science or open source\n\n## Perks\n* A fully remote job with a competitive salary and benefits package.\n* Our team culture is family-friendly. Our leadership includes several working parents, and our health insurance and unlimited PTO policies are designed with families in mind.\n* This role can grow with you. There are plenty of opportunities for leadership and autonomy in our small team! \n* Impact- you get to work on projects that are used every day by teams around the world! DVC and CML are used by researchers and data science teams across tech, finance, and government organizations. \n* You will get a DeeVee.\n\n \n\nPlease mention the words **GRASS EXCESS UNVEIL** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDc=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Location\nWorldwide
# How do you apply?\n\nFill out our [online application](https://forms.gle/v4scKdfgTfYbXtGTA).
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
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This job post is closed and the position is probably filled. Please do not apply. Work for Bonfire and want to re-open this job? Use the edit link in the email when you posted the job!
Bonfire is an ecommerce platform where anyone can design and sell custom apparel online with a no-inventory campaign-based model. Our users range widely, including nonprofits raising money and building brand awareness, content creators engaging their audiences, individuals launching personal fundraisers and everything in between.\n\nOur development team is small, dynamic, and completely remote, and we are excited to have a talented ***SQL Data Analyst*** join us.\n\n**About you:**\n\n* You are comfortable writing and understanding complex SQL queries.\n* You can help the stakeholders formulate their requests and can help them tweak the queries to get the most useful reports.\n* Your English communication skills are excellent.\n\n**The role:**\n\n* The Data Analyst is responsible for querying information from SQL databases and other sources and organizing it into coherent reports.\n* You will work directly with several stakeholders around the company who will ask you to gather data and generate reports to them.\n* Many of the stakeholders are knowledgeable about databases and will work with you to tweak the queries and adjust them to their needs.\n* We will work with you to create a centralized repository of reports and graphs that show which data is queried, how it is queried and what the results look like.\n\n**The work environment:**\n\nThis is a completely remote position, but it is a full time commitment. You will work closely with other developers and will occasionally be called in a remote VOIP meeting. We try to keep things agile, but we avoid ceremonies and unnecessary meetings. We try to keep the workflow streamlined and fun for all developers.\n\n**About Bonfire:** \n\nBonfire.com is transforming the way people buy and sell high quality custom apparel. Based in Richmond, VA since 2012, we have helped thousands of organizations and individuals raise millions of dollars for the causes they care about on bonfire.com.\n\n**You’re in good company (with a good company). We offer:**\n\n* Competitive compensation\n* A positive, engaging culture and dynamic team environment\n* The chance to make a real impact on the company’s growth and history\n* The ability to help make a difference in thousands of people’s lives\n* An environment to grow your skills, learn new technologies, and to challenge yourself (while having fun)\n\n\n \n\nPlease mention the words **WAVE THEORY RUNWAY** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDc=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Location\nWorldwide
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for BairesDev and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\nAt BairesDev (Glassdoor Employee Score: 4.3), we are proud of being one of the fastest-growing companies in the industry because we don't sacrifice quality. With more than 1300 collaborators, and providing talent to companies such as Google, Pinterest and Udemy, we continue to rapidly add talent to our multicultural team who will help us get to the next level.\n\nWe are looking for Data Scientists to work from home and join our Development team and participate in different projects made up of multicultural teams distributed throughout the world. We are looking for proactive people, team players passionate about programming in this language and oriented to provide the best experience to the end user. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing companies in the industry!\n\nThese developers will face numerous technical challenges, so they must use current technologies, get involved in the mobile world, web applications, devices, etc.\n\nMain Activities:\n\n- Work together with developers, tech leads and solution architects to build applications.\n- Improve existing structures by adding new functionalities or proposing technological updates so that as a result, the impact of your contribution is significant in the core of each business.\n- The result of your work will also allow you to improve the user experience on scalable and high availability platforms, contributing to the key differential of each business.\n\n What are we looking for: \n\n- 6+ years of experience working as a developer.\n- 5+ years of experience in Data Scientist.\n- Proficient with analysis, troubleshooting, and problem solving.\n- Hands-on experience with managing data loads and data quality a plus.\n- Advanced English is mandatory.\n\n\n\nWe offer:\n\n- 100% remote / work-from-home flexible schedules.\n- Excellent compensation.\n- Multiple opportunities to learn and grow in a people-first environment.\n- Warming company culture.\n- Clients interested in what you have to say, eager to hear your opinions and mostly in working together towards building something great.\n\nApply now and become part of this fantastic startup. At BairesDev, remote work is at our core. Enjoy the opportunity to have a dynamic lifestyle, better health, and wellness. Find renewed passion in your job, improve your productivity, and benefit from attractive growth opportunities for your career. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, English and Mobile jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Loadsmart and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\nWho we are:\n\nLoadsmart aims to move more with less. We combine great people and innovative technology to more efficiently move freight throughout North America. Our focus is on designing and building the best tools for our team and our customers, using machine learning algorithms to connect cargo with trucks. By better matching supply and demand, we reduce wasted fuel and lost time, cutting out empty miles for motor carriers and providing instant booking for shippers. \n\nWho you are:\n\nYou believe in game-changing innovations and are excited about reimaging a 700 billion dollar industry. You know how to take ideas, optimize them, and push it into production code using Python.\n\nThe role:\n\nWe are looking for a Sr. Data Science Engineer to work remotely in Brazil with experience in Software Development to join us in the Sourcing Automation group in order to analyse, design and implement machine learning algorithms for systems that provide recommendations to source carriers, and that optimize margins of carrier prices.\n\nKey Responsibilities:\n\n\n* Model predictive techniques to a variety of logistic problems\n\n* Develop new (and improve existing) machine learning algorithms\n\n* Implement, release, and then maintain the algorithms running in production\n\n* Analyse metrics and look for sourcing improvement opportunities\n\n\n\n\nQualifications:\n\n\n* Experience in modeling and implementing predictive algorithms (either from scratch or by having used libraries / frameworks) \n\n* Software development skills in Python, databases (such as PostgreSQL, Redis) and REST APIs (other programming languages, a plus)\n\n* Software Design / Object-Oriented Programming / SOLID Principles\n\n* Experience implementing automated tests - unit and integration tests (test-driven development, a plus)\n\n* 2+ years of experience as a data scientist/machine learning engineer \n\n* 3+ years of experience as a software developer\n\n* 5+ years of experience total\n\n* You’re very comfortable communicating in English (both written and spoken) - you will work in an international team with native and non native english speakers\n\n* Native proficiency in Portuguese language\n\n* Curiosity. You're keen on learning new technologies and tools as well as evaluating their pros and cons. You ask questions and are hungry to learn more\n\n* MS or PhD in a technical discipline would be cool, but it is not mandatory.\n\n\n\n\nBecause we are an international company, we only accept resumes in English. At Loadsmart, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture.\n\nLoadsmart treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes, including on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status, or disability. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Engineer and English jobs that are similar:\n\n
$70,000 — $122,500/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for komoot and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\nMillions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times and, with more than 12 million users and 100,000 five-star reviews, komoot is on its way to becoming one of the most popular cycling and hiking apps. Join our fully remote team of 60+ people and change the way people explore!\n\nTo help us grow, we’re looking for an experienced data scientist dedicated to improving our product experience. As a young tech company, we know how user engagement can be boosted by personalisation, recommendations, user-segmentations and smart retention hooks. Using a wide range of different data sets, from common analytics/product data to unusual data sets like GPS recording and social relations, you will drive product enhancements forward that will directly impact 12 million users.\n\nWe believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success.\n\nWhat you will do\n\n\n* Work closely with our backend, web and mobile developers, designers, copywriters and product managers\n\n* Discuss product improvements, technical possibilities and road maps\n\n* Investigate and evaluate data science approaches for product enhancements\n\n* Turn prototypes into production systems by writing clean and maintainable code\n\n* Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers)\n\n\n\n\nWhy you will love it\n\n\n* You will be challenged with a wide range of data science tasks (e.g. optimise ranking/composition of a feed, recommend users to follow, churn prediction, personalisation, ...)\n\n* You will deal with a diverse set of data (location data, social network, user content (images, text), external data source like OSM, product analytics, ...)\n\n* You will go beyond prototyping and ship your code to production\n\n* You will contribute to a product with a vision to inspire more people to go outdoors\n\n* You will work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You will enjoy the freedom to organize yourself the way you want \n\n* We let you work from wherever you want, be it a beach, the mountains, your house, coworking center of your choice, our HQ in Potsdam or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\n* You will travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n\nYou will be successful in this position if you\n\n\n* Have a passion for finding pragmatic and smart solutions to complex problems\n\n* Have a solid understanding of math and statistics\n\n* Have 3+ years of industry experience in data science\n\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn and XGBoost/LightGBM/CatBoost\n\n* Bonus: TensorFlow, Keras or PyTorch\n\n* Know SQL\n\n* Love to write clean, maintainable and tested Python code\n\n* Have experience productionising your data science solutions\n\n* Have strong communication and team skills\n\n* Have a hands-on attitude and are highly self-driven\n\n* Bonus: Know statically typed languages such as Kotlin/Java/C or Go\n\n* Bonus: Have cloud experience (e.g. with AWS)\n\n* Bonus: Have BigData experience (e.g. Spark, Presto, Hadoop)\n\n\n\n\nSounds like you?\n\nThen send us the following:\n\n\n* Your CV in English highlighting your most relevant experience\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)\n\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, a blog or something else\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, English, Cloud, Math, Python, Travel, Mobile, Backend and Non Tech jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Loadsmart and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\nWho we are:\n\nLoadsmart aims to move more with less. We combine great people and innovative technology to more efficiently move freight throughout North America. Our focus is on designing and building the best tools for our team and our customers, using machine learning algorithms to connect cargo with trucks. By better matching supply and demand, we reduce wasted fuel and lost time, cutting out empty miles for motor carriers and providing instant booking for shippers. \n\nWho you are:\n\nYou believe in game-changing innovations and are excited about reimaging a 700 billion dollar industry. You know how to take ideas, optimize them, and push it into production code using Python.\n\nThe role:\n\nWe are looking for a Sr. Data Science Engineer to work remotely in Brazil with experience in Software Development to join us in the Sourcing Automation group in order to analyse, design and implement machine learning algorithms for systems that provide recommendations to source carriers, and that optimize margins of carrier prices.\n\nKey Responsibilities:\n\n\n* Model predictive techniques to a variety of logistic problems\n\n* Develop new (and improve existing) machine learning algorithms\n\n* Implement, release, and then maintain the algorithms running in production\n\n* Analyse metrics and look for sourcing improvement opportunities\n\n\n\n\nQualifications:\n\n\n* Experience in modeling and implementing predictive algorithms (either from scratch or by having used libraries / frameworks) \n\n* Software development skills in Python, databases (such as PostgreSQL, Redis) and REST APIs (other programming languages, a plus)\n\n* Software Design / Object-Oriented Programming / SOLID Principles\n\n* Experience implementing automated tests - unit and integration tests(test-driven development, a plus)\n\n* 2+ years of experience as a data scientist/machine learning engineer \n\n* 3+ years of experience as a software developer\n\n* 5+ years of experience total\n\n* You’re very comfortable communicating in English (both written and spoken) - you will work in an international team with native and non native english speakers\n\n* Native proficiency in Portuguese language\n\n* Curiosity. You're keen on learning new technologies and tools as well as evaluating their pros and cons. You ask questions and are hungry to learn more\n\n* MS or PhD in a technical discipline would be cool, but it is not mandatory.\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Engineer and English jobs that are similar:\n\n
$70,000 — $122,500/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for komoot and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\nMillions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times – and, with more than 12 million users and 100,000 five-star reviews – komoot is on its way to become one of the most popular cycling and hiking apps. Join our fully remote team of 60+ people and change the way people explore! To help us continue to grow, we ‘re looking for an experienced backend developer with knowledge in data science. Komoot possesses a unique dataset of user-generated content, ranging from GPS data from tours, uploaded photos, and tips, to implicit and explicit user feedback. To get the biggest value from this raw data, we need your excellent software and analytical skills. The challenges include automatic evaluation and classification of our user-generated content as well as innovative approaches to assembling them into consumable inspiration for users (e.g. auto-generated tour suggestions tailored to users’ sport and location). You’ll wrap up your algorithms into clean and scalable microservices in our modern cloud environment. We believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success.\n\n\n\n\n\n\nYour key responsibilities\n\n\n\n* You’ll be challenged with a wide range of tasks for which there are no standard solutions\n\n* You’ll have full ownership: from concept, prototypes, and building, to deploying and monitoring\n\n* You’ll deal with diverse datasets (location data, social network, user content (images, text), external data sources like OSM, product analytics, ...)\n\n* You’ll contribute to a product with a vision to inspire more people to go outdoors\n\n* You’ll work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You’ll enjoy the freedom to organize yourself the way you want\n\n* We let you work from wherever you want, be it a beach, the mountains, your house, a coworking center of your choice, our HQ in Potsdam or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\n* You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n\n\n\n\nWhy you will love it\n\n\n\n* Work closely with our data scientists, web and mobile developers, designers, copywriters and product managers\n\n* Discuss product improvements, technical possibilities and road maps\n\n* Investigate and evaluate data science approaches for product enhancements (you can count on the support of experienced data scientists)\n\n* Turn prototypes into resilient and scalable REST APIs and background workers\n\n* Deploy and monitor your code in our AWS Cloud\n\n\n\n\n\n\n\nYou will be successful in this position if you\n\n\n\n* Have a passion for finding pragmatic and smart solutions to complex problems\n\n* Have 3+ years of professional experience in backend development in the cloud\n\n* Have 2+ years of professional experience in Kotlin/Java/Scala\n\n* Have 2+ years of professional experience in Python\n\n* Know SQL and NoSQL\n\n* Have a solid understanding of math and statistics\n\n* Have a solid understanding of data science fundamentals\n\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn\n\n* Bonus: BigData experience (Spark, Presto, Hadoop)\n\n* Bonus: Infrastructure as Code\n\n* Bonus: Deployment, CI and monitoring\n\n* Have strong communication and team skills\n\n* Have a hands-on attitude and are highly self-driven\n\n\n\n\n\n\n\nSounds like you?\n\n\nSend us the following\n\n\n* Your CV in English highlighting your most relevant experience\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)\n\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, a blog or something else\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Backend, Developer, Digital Nomad, English, Cloud, Math, Travel and Mobile jobs that are similar:\n\n
$67,500 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for komoot and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\nMillions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times and, with more than 12 million users and 100,000 five-star reviews, komoot is on its way to becoming one of the most popular cycling and hiking apps. Join our fully remote team of 60+ people and change the way people explore!\n\nTo help us grow, we’re looking for an experienced data scientist dedicated to improving our product experience. As a young tech company, we know how user engagement can be boosted by personalisation, recommendations, user-segmentations and smart retention hooks. Using a wide range of different data sets, from common analytics/product data to unusual data sets like GPS recording and social relations, you will drive product enhancements forward that will directly impact 12 million users.\n\nWe believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success.\n\nWhat you will do\n\n\n* Work closely with our backend, web and mobile developers, designers, copywriters and product managers\n\n* Discuss product improvements, technical possibilities and road maps\n\n* Investigate and evaluate data science approaches for product enhancements\n\n* Turn prototypes into production systems by writing clean and maintainable code\n\n* Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers)\n\n\n\n\nWhy you will love it\n\n\n* You will be challenged with a wide range of data science tasks (e.g. optimise ranking/composition of a feed, recommend users to follow, churn prediction, personalisation, ...)\n\n* You will deal with a diverse set of data (location data, social network, user content (images, text), external data source like OSM, product analytics, ...)\n\n* You will go beyond prototyping and ship your code to production\n\n* You will contribute to a product with a vision to inspire more people to go outdoors\n\n* You will work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You will enjoy the freedom to organize yourself the way you want \n\n* We let you work from wherever you want, be it a beach, the mountains, your house, coworking center of your choice, our HQ in Potsdam or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\n* You will travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n\nYou will be successful in this position if you\n\n\n* Have a passion for finding pragmatic and smart solutions to complex problems\n\n* Have a solid understanding of math and statistics\n\n* Have 3+ years of industry experience in data science\n\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn and XGBoost/LightGBM/CatBoost\n\n* Bonus: TensorFlow, Keras or PyTorch\n\n* Know SQL\n\n* Love to write clean, maintainable and tested Python code\n\n* Have experience productionising your data science solutions\n\n* Have strong communication and team skills\n\n* Have a hands-on attitude and are highly self-driven\n\n* Bonus: Know statically typed languages such as Kotlin/Java/C or Go\n\n* Bonus: Have cloud experience (e.g. with AWS)\n\n* Bonus: Have BigData experience (e.g. Spark, Presto, Hadoop)\n\n\n\n\nSounds like you?\n\nThen send us the following:\n\n\n* Your CV in English highlighting your most relevant experience\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)\n\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, a blog or something else\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, English, Cloud, Math, Python, Travel, Mobile, Backend and Non Tech jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Wikimedia Foundation and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\nThe Wikimedia Foundation is seeking an experienced executive to serve as VP, Data Science & Engineering for our Technology department. At the Wikimedia Foundation, we operate the world’s largest collaborative project: a top ten website, reaching a billion people globally every month, while incorporating the values of privacy, transparency and community that are so important to our users. \n\nReporting to the Chief Technology Officer, the VP, Data Science & Engineering is a key member of the Foundation’s leadership team and an active participant in the strategic decision making framing the work of the technology department, the Wikimedia Foundation and the Wikimedia movement.\n\nThis role is responsible for planning and executing an integrated multi-year data science and engineering strategy spanning our work in artificial intelligence, machine learning, search, natural language processing and analytics. This strategy will interlock with and support the larger organization and movement strategy in service of our vision of enabling every human being to share freely in the sum of human knowledge.\n\nWorking closely with other Technology and Product teams, as well as our community of contributors and readers, you’ll lead a team of dedicated directors, engineering managers, software engineers, data engineers, and data scientists who are shaping the next generation of data usage, analysis and access across all Wikimedia projects.\n\nSome examples of our teams work in the realm of data science and data engineering can be found on our blog, including deeper info on our work in improving edit workflows with machine learning, our use of Kafka and Hadoop or our analysis of analysis of people falling into the “Wikipedia rabbit hole”. As of late we have been thinking on how to best identify traffic anomalies that might indicate outages or, possibly, censorship. \n\nYou are responsible for:\n\n\n* Leading the technical and engineering efforts of a global team of engineers, data scientists and managers focused on our efforts in productionizing artificial intelligence, data science, analytics, machine learning and natural language processing models as well as data operations. These efforts currently encompass three teams: Search Platform, Analytics and Scoring Platform (Machine Learning Engineering)\n\n* Working closely with our Research, Architecture, Security, Site Reliability and Platform teams to define our next generation of data architecture, search, machine learning and analytics infrastructure\n\n* Creating scalable engineering management processes and prioritization rubrics\n\n* Developing the strategy, plan, vision, and the cross-functional teams to create a holistic data strategy for Wikimedia Foundation taking into account our fundamental values of transparency, privacy, and collaboration and in collaboration with internal and external stakeholders and community members.\n\n* Ensure data is available, reliable, consistent, accessible, secure, and available in a timely manner for external and internal stakeholders and in accordance with our privacy policy.\n\n* Negotiating shared goals, roadmaps and dependencies with finance, product, legal and communication departments\n\n* Contributing to our culture by managing, coaching and developing our engineering and data teams\n\n* Illustrating your success in making your mark on the world by collaboratively measuring and adapting our data strategy within the technology department and the broader Foundation\n\n* Managing up to 5 direct reports with a total team size of 20\n\n\n\n\nSkills and Experience:\n\n\n* Deep experience in leading data science, machine learning, search or data engineering teams that is able to separate the hype in the artificial intelligence space from the reality of delivering production ready data systems\n\n* 5+ years senior engineering leadership experience\n\n* Demonstrated ability to balance competing interests in a complex technical and social environment\n\n* Proven success at all stages of the engineering process and product lifecycle, leading to significant, measurable impact.\n\n* Previous hands-on experience in production big data and machine learning environments at scale\n\n* Experience building and supporting diverse, international and distributed teams\n\n* Outstanding oral and written English language communications\n\n\n\n\nQualities that are important to us:\n\n\n* You take a solutions-focused approach to challenging data and technical problems\n\n* A passion for people development, team culture and the management of ideas\n\n* You have a desire to show the world how data can be done while honoring the user’s right to privacy\n\n\n\n\nAdditionally, we’d love it if you have:\n\n\n* Experience with modern machine learning, search and natural language processing platforms\n\n* A track record of open source participation\n\n* Fluency or familiarity with languages in addition to English\n\n* Spent time having lived or worked outside your country of origin\n\n* Experience as a member of a volunteer community\n\n\n\n\nThe Wikimedia Foundation is... \n\n...the nonprofit organization that hosts and operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge, free of interference. We host the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive financial support from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.\n\nThe Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply.\n\nU.S. Benefits & Perks*\n\n\n* Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)\n\n* The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more\n\n* The 401(k) retirement plan offers matched contributions at 4% of annual salary\n\n* Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.\n\n* Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.\n\n* For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program\n\n* Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses\n\n* Telecommuting and flexible work schedules available\n\n* Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax\n\n* Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people\n\n\n\n\n*Eligible non-US benefits are specific to location and dependent on employer of record \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Engineer, English, Education, Senior and Legal jobs that are similar:\n\n
$80,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Wikimedia Foundation and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\nThe Wikimedia Foundation is seeking an experienced executive to serve as Vice President of Data Science & Engineering for our Technology department. At the Wikimedia Foundation, we operate the world’s largest collaborative project: a top ten website, reaching a billion people globally every month, while incorporating the values of privacy, transparency and community that are so important to our users. \n\nReporting to the Chief Technology Officer, the VP of Data Science & Engineering is a key member of the Foundation’s leadership team and an active participant in the strategic decision making framing the work of the technology department, the Wikimedia Foundation and the Wikimedia movement.\n\nThis role is responsible for planning and executing an integrated multi-year data science and engineering strategy spanning our work in artificial intelligence, machine learning, search, natural language processing and analytics. This strategy will interlock with and support the larger organization and movement strategy in service of our vision of enabling every human being to share freely in the sum of human knowledge.\n\nWorking closely with other Technology and Product teams, as well as our community of contributors and readers, you’ll lead a team of dedicated directors, engineering managers, software engineers, data engineers, and data scientists who are shaping the next generation of data usage, analysis and access across all Wikimedia projects.\n\nSome examples of our teams work in the realm of data science and data engineering can be found on our blog, including deeper info on our work in improving edit workflows with machine learning, our use of Kafka and Hadoop or our analysis of analysis of people falling into the “Wikipedia rabbit hole”. As of late we have been thinking on how to best identify traffic anomalies that might indicate outages or, possibly, censorship. \n\nYou are responsible for:\n\n\n* Leading the technical and engineering efforts of a global team of engineers, data scientists and managers focused on our efforts in productionizing artificial intelligence, data science, analytics, machine learning and natural language processing models as well as data operations. These efforts currently encompass three teams: Search Platform, Analytics and Scoring Platform (Machine Learning Engineering)\n\n* Working closely with our Research, Architecture, Security, Site Reliability and Platform teams to define our next generation of data architecture, search, machine learning and analytics infrastructure\n\n* Creating scalable engineering management processes and prioritization rubrics\n\n* Developing the strategy, plan, vision, and the cross-functional teams to create a holistic data strategy for Wikimedia Foundation taking into account our fundamental values of transparency, privacy, and collaboration and in collaboration with internal and external stakeholders and community members.\n\n* Ensure data is available, reliable, consistent, accessible, secure, and available in a timely manner for external and internal stakeholders and in accordance with our privacy policy.\n\n* Negotiating shared goals, roadmaps and dependencies with finance, product, legal and communication departments\n\n* Contributing to our culture by managing, coaching and developing our engineering and data teams\n\n* Illustrating your success in making your mark on the world by collaboratively measuring and adapting our data strategy within the technology department and the broader Foundation\n\n* Managing up to 5 direct reports with a total team size of 20\n\n\n\n\nSkills and Experience:\n\n\n* Deep experience in leading data science, machine learning, search or data engineering teams that is able to separate the hype in the artificial intelligence space from the reality of delivering production ready data systems\n\n* 5+ years senior engineering leadership experience\n\n* Demonstrated ability to balance competing interests in a complex technical and social environment\n\n* Proven success at all stages of the engineering process and product lifecycle, leading to significant, measurable impact.\n\n* Previous hands-on experience in production big data and machine learning environments at scale\n\n* Experience building and supporting diverse, international and distributed teams\n\n* Outstanding oral and written English language communications\n\n\n\n\nQualities that are important to us:\n\n\n* You take a solutions-focused approach to challenging data and technical problems\n\n* A passion for people development, team culture and the management of ideas\n\n* You have a desire to show the world how data can be done while honoring the user’s right to privacy\n\n\n\n\nAdditionally, we’d love it if you have:\n\n\n* Experience with modern machine learning, search and natural language processing platforms\n\n* A track record of open source participation\n\n* Fluency or familiarity with languages in addition to English\n\n* Spent time having lived or worked outside your country of origin\n\n* Experience as a member of a volunteer community\n\n\n\n\nThe Wikimedia Foundation is... \n\n...the nonprofit organization that hosts and operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge, free of interference. We host the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive financial support from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.\n\nThe Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply.\n\nU.S. Benefits & Perks*\n\n\n* Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)\n\n* The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more\n\n* The 401(k) retirement plan offers matched contributions at 4% of annual salary\n\n* Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.\n\n* Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.\n\n* For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program\n\n* Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses\n\n* Telecommuting and flexible work schedules available\n\n* Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax\n\n* Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people\n\n\n\n\n*Eligible non-US benefits are specific to location and dependent on employer of record \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Engineer, English, Education, Senior and Legal jobs that are similar:\n\n
$80,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Bothouse and want to re-open this job? Use the edit link in the email when you posted the job!
‼️ [Machine Learning/AI Lead needed!] ‼️\n--------------------------------------------------------------\n\n🕦 Full-time\n\n🌎 Remotely or in our office in Warsaw (Europe), regular flights to Oslo (costs are covered)\n\n💰 $50 - $90 an hour\n\n⌛ Duration: 4 - 12 months with the ability to extend\n\n🏁 Start: beginning of August 2018\n\n🇳🇴 2 week-long visit in Oslo at the beginning of the project\n\n👥 4 people with this profile are needed\n\nYet another time we search for extraordinary people to join our nerdy crew! :)\n\nProject for a big retail corporation in Norway (11k employees) with stores across entire Europe. \nYou’ll be working closely with business people (20 years of business experience), IT specialists (SE architects, DevOps, UI/UX people) and also with board members to design and execute digital transformation to replace client’s entire IT infrastructure with an AI-first, data-oriented, modern, future-proof solution. \n\nThe project involves an above-average degree of machine learning system design, conceptual thinking, algorithmic thinking and communication/brainstorming with business-oriented people/industry specialists. \n\nIf you are looking for an easy next project/job, or quick cash - there are better offers out there.\n\nA rare opportunity to hone not only the technical expertise or English skills, but also business-oriented communication, industry-related, practical business know-how and system design skills. \nWe have people with Google DeepMind on their CVs already involved. \n\nLess experienced folks are also welcome to apply - we need many people.\n\n 👉 Contact: [email protected] \n\nPlease mention the words **MIND EXERCISE RACCOON** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDc=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Data Science, Executive and English jobs that are similar:\n\n
$75,000 — $122,500/year\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for ING and want to re-open this job? Use the edit link in the email when you posted the job!
\nData Scientist. Shaping innovations at ING.\n\nPlaying a lead role in data analysis within international banking.\n\nDo you want to have a lead role in data analysis developments that break new ground in banking? Do you aspire to a position in an international team? Then, apply at the Advanced Analytics Team and become a Data Scientist who takes the lead in data analysis\n\nThe financial world is making huge strides. Changes are taking place in rapid succession. Across the world, ING wants to play a role in these changes. We believe that clever use of data analysis with people who excel in this dynamic domain is crucial in distinguishing ourselves: \n\n* Deepening customer knowledge. The core of our existence is to empower our customers to stay a step ahead in life. To fulfill this task we need to improve our ability to better identify the needs of our customers. \n\n* Asset generation. An important strategic theme introduced with our new strategy is consumer and SME lending in the challenger and growth markets. The team can help with improving/ developing prediction models/ solutions (leads/ acceptance/ management/ arrears).\n\n* Risk reduction. The team can help to improve risk models and help to better detect or predict risks by developing for example advanced network models on how markets/ companies are related or develop early indicators to detect the early stages of a financial crisis or a housing crisis.\n\n* Operational excellence. Flawless execution and easy access to our services for customers is key. The team can help to improve service levels and lower costs for ING. \n\n* Breakthrough data analytics innovations. Where possible the team will also try to focus on breakthrough data analytics innovations for ING. For example helping people when they buy a house on future value development and or time to sell. Or helping people to detect online scams by giving a confidence rating if they want to do business with someone, like scam advisor does.\n\n\nLearning a lot and pioneering in dynamic surroundings\nAs a Data Scientist you are part of the Advanced Analytics Team containing a total of 13 specialists. You are working directly with blackbelts, computer scientists and other data scientists; partly highly experienced, partly less experienced. The team works international for all ING divisions worldwide.You are working in really amicable and dynamic surroundings where we spend each day working on innovation and new business opportunities. The team’s goal is to use data technologies to solve all kinds of strategic business questions, in order to anticipate the desires, needs and interests of our customers even better. \n\nInteresting terms of employment\nAs a Data Scientist at ING, this fulltime position(40 hours a week) offers you an excellent salary and superb fringe benefits. Apart from that, you will be given sufficient development opportunities, both locally and internationally, and you will be entitled to support in the event of any relocation from abroad.\n\nWho are we looking for?\nYou are an enthusiastic and entrepreneurial Data Scientist who achieves maximum results from projects. You have the leadership and management qualities to be a frontrunner within these projects as well as within your team. You are very socially competent and a highly skilled communicator who is able to work with parties concerned on all levels within an organization. Moreover, you are good at coaching and counseling more junior colleagues.\n\nFurthermore: \n\n* You speak and write the English language fluently; German, Dutch, Spanish, French or Italian as extra language.\n\n* You have at least 3 years of relevant work experience in data/analytics;\n\n* You have completed a Master’s or PhD degree with honors in Computer Science, Mathematics or in another relevant field of studies;\n\n* You have experience in one or more of the following areas of expertise: data architecture, data mining and/or data analysis;\n\n* You have experience regarding one or more of the following specialist skills/ areas:\n\n\no NOSQL, SQL, R, SAS, SPSS, Python, Matlab, etcetera\no Databases and/or data models (Graph databases,Hippocratic databases, ontologies, semantic frameworks)\no Data security and privacy (privacy-preserving datamining, data security, data provenance)\no Algorithms for data integration / capture\no Machine learning, Bayesian Analysis, EvolutionaryComputing, Neural Networks,\no Statistics (Regression, Clustering, Decision trees,Hypergraphs)\no Advanced mathematics\no Simulation, scenario analysis, modeling\n\n* You can preferably vouch for entrepreneurship (for instance, because you once started your own business, worked at a start-up, or because you managed innovation teams within companies);\n\n* You display a natural instinct for innovation and pragmatic ‘out-of-the-box’ thinking;\n\n* You preferably have experience with Agile/Scrum aswell. \n\n* 20% travelling.\n\n\nAbout ING\nING is a global financial institution of Dutch origin. We draw on our experience and expertise, our commitment to excellent service and our global scale to meet the needs of a broad customer base, comprising individuals, families, small businesses, large corporations, institutions and governments. Our strengths include our relatively high customer satisfaction levels, solid financial position, multi-channel distribution strategy and international network. Moreover, ING is a sustainability leader in its sector.\n\nIn need of further information or ready to apply?\nCan you identify with this profile? Then apply and become a Data Scientist at the ING Advanced Analytics Team. Do you have any questions about this position? Please contact Rob van Elburg, Global IT Recruiter, via +31-6-20210769 or [email protected] \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, English, Junior, Excel and Non Tech jobs that are similar:\n\n
$75,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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