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 (#RMjE2LjczLjIxNi4xNw==). 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 Ampcontrol and want to re-open this job? Use the edit link in the email when you posted the job!
We're Ampcontrol, building AI-powered software for optimizing electric vehicle (EV) charging.
We 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.
Our company culture includes minimal hierarchy; We make technical decisions based on consensus and aim at simplicity and clarity.
We're on a mission to help the automotive industry transition to 100% electric vehicles.
We believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.
💻 The Role
All levels of experience. The position will be accordingly
You'll be building and improving our python backend system, including the core optimization system and our customer facing APIs
Maintain and improve test environment
Develop our Python3/FastAPI service further, with an eye on performance and scalability
Work with data scientists to build a stable and powerful architecture for ML-applications for real-time optimization
Build, maintain, migrate databases and accommodate time-series data
Write clean and easily maintainable code for our optimization engine with a focus on reliability and scalability
⭐ You have
Professional experience in python software development or QA engineering
Experience in at least one cloud computing platform
A good understanding of DevOps tools and methods, including end-to-end testing
Fluency in English for verbal and written communication is required
Motivated to work in the electric vehicles and sustainability industries
Experience with PostgreSQL and Redis preferred
📍 Location
We're a remote team. You can work from America, United States, Canada, Europe.
Please mention the word GRATIFIED when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNw==). 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 — $110,000/year
Benefits
⏰ Async
🤓 Vision insurance
🦷 Dental insurance
🚑 Medical insurance
💰 Equity compensation
🎅 We hire old (and young)
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 Wander and want to re-open this job? Use the edit link in the email when you posted the job!
Wander is a growing, fast-paced startup hiring a full-time Data Engineer to help build our data infrastructure. Data is quickly becoming a core part of Wander’s business and will be key in unlocking massive growth and discovering new opportunities. We are looking for someone who is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. As the founding member of this team, you will get to work on every side of the data stack and lay the foundation for the rest of our business to build upon.
If you are passionate about software design, development, travel, smart home tech, and have 3+ years of development experience, please apply today!
Requirements
3+ years of professional development experience
Advanced SQL knowledge and experience working with relational databases (Postgres, MySQL)
Experience building and optimizing data pipelines, architectures, and data sets
Build processes supporting data transformation, data structures, and workload management
Working knowledge of message queuing, stream processing, and highly scalable data stores
Strong analytic skills
Experience performing root cause analysis on internal and external data and processes
Experience with data pipeline & workflow management tools (e.g., Airflow, Fivetran, Census, Hightouch, etc.)
Experience building BI dashboards (Superset, Cube.js, Tableau, Looker, etc.)
Experience with data modeling tools like DBT
Experience with data warehouses (Snowflake, Big Query, Redshift)
Experience with object-oriented/object function scripting languages (Python and Typescript preferred)
Strong work ethic, self-directed
Passion for building
Eye for detail
You will need to be able to build
Data pipelines for marketing, finance, operations, and other parts of the business
Business dashboards
Clean datasets for easy analysis
Create data tools to help build our product into an industry leader
Work with tools like Segment to implement event tracking
Tech Stack
Our data stack is in its infancy, so you will play a critical role in helping build out our infrastructure (and team) and deciding what technologies we should use. Currently, we use Segment, Big Query, and Airbyte.
Our app and backend are end-to-end Typescript. With NextJS for our web app and React Native for our mobile apps. Our API is provided by a GraphQL interface and interfaces with a PostgreSQL database via Prisma.
About Wander
Wander is verticalizing the 100b+ short-term rental industry. We own the demand, booking, smart home technology, home management, and the homes themselves, creating an unmatched guest experience.
Our mission is to help people find their happy place. Our vision is to create the infrastructure for people to experience the world.
We are backed by legendary investors and have a team of experienced startup operators. We are a tight-knit team with a strong work ethic with a common goal of building a lasting company.
Benefits
Medical, dental, and vision benefits covered 100% by Wander
401k
Equity in Wander
We are an Equal Opportunity employer. All qualified applicants will receive consideration without discrimination because of sex, gender identity, gender expression, sexual orientation, marital status, race, color, age, national origin, military status, religion, disability or any other legally protected status.
Please mention the word SOOTHINGLY when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNw==). 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
$10,000 — $100,000/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 Sendwave and want to re-open this job? Use the edit link in the email when you posted the job!
Who we are
Sendwave is on a mission to make sending funds to loved ones as easy and affordable as sending a text. What makes us stand out in a sea of similar apps? We deeply care about the diasporas and communities we serve — and that comes with a sense of connection to the markets we operate in. We strive to make life better for everyone who touches our product. That means recognizing and honoring the human experience behind sending money. We do that by remaining fee-free in most of our markets and offering round-the-clock customer care.
Our app is currently available in the United States, United Kingdom, Canada, and parts of Europe, and sends funds to 19 receiving countries for over 500,000 users. We currently havea 4.6-star rating on Trustpilot — people put their faith in us to deliver their money quickly, securely, and affordably. And we’re pretty darn proud of that.
How we work
What we’re most proud of though is our brilliant, creative, and tenacious team. Our remote-first workplace means you’ll be working with Sendwavers in Europe, Africa, South America, and the U.S. that all share a core set of Sendwave values. What exactly are those values? Glad you asked.
Prioritize fearlessly. There will always be more problems to solve and opportunities to pursue than we have the capacity for. We’re not afraid to say no and are willing to let fires burn, knowing that to win we must discern and execute decisively on the vital few rather than the important many.
Take full ownership of the outcomes we’re responsible for. Our job is not to do what we can to solve a problem. It's to ensure that problem is solved. If an attempt to solve a problem doesn't work, we seek an alternative. If we need help, we request it, and, if necessary, demand it.
Forge a diverse team and inclusive culture. We believe the challenges we’re addressing will be best met by a truly global, diverse team, working together. We’re not naive to the systemic bias and discrimination that make this easier said than done, so we check our egos, listen deeply, and measure progress towards making this a fundamental part of our success.
Maximize our rate of learning. We view projects as ever-evolving drafts and welcome opportunities to discover that what we had in mind won't work so we can move to an even better end state. Most importantly, we do this fast. The faster we run these loops — as a company and individuals — the faster we’ll achieve our mission.
Embrace embarrassing honesty from ourselves and others. We function best when we're open and honest with one another — especially about our challenges and doubts. We lean into uncomfortable conversations and support our colleagues when they do the same.
Maximize energy, not time spent. We measure our own and others’ contributions by objectives reached, not time spent. Living a full life outside of work is necessary for high achievement over the long term.
Your key areas of focus :
If you’ve ever seen The Tinder Swindler , FYRE, or The Wizard of Lies you know fraud is an infinitely repeating social struggle that leaves the most vulnerable to pay the price. The Risk team at Sendwave builds and supports everything needed to aggregate the individual fraud cases and stop the scheme from ever being lucrative for the fraudster.
This includes integration of vendor tools, training new fraud/anomaly detection algorithms, supporting our risk operations teams, and improving our monitoring capabilities. You’ll leverage your Data-to-Insights skills to develop accurate, targeted defenses that remove fraud from our platform.
In your first few months you’ll:
Set KPIs and scope constraints for new modeling projects to decrease our information lag between fraud happening and us receiving feedback of its presence.
Develop heuristics to quickly fight fraud.
Identify missing tooling and suggested verification actions to help our risk representatives make sense of the system’s decision to block and correctly assess the situation.
Evaluate and spec out integrations for new data sources for our fraud detection algorithms.
Diligently work to lower false-positive rates
Develop strategies to detect previously unseen patterns that may indicate a new fraud attack.
Develop strategies and tools to help less technical individuals develop fraud-fighting heuristics.
Automate the training and deployment of updated models.
Develop a new anomaly detection algorithm, helping us spot strange behavior before a chargeback occurs.
Help build experiments to evaluate new models, third-party data sources, and tooling.
We're building out a best-in-class Risk infrastructure that can enable us to grow and we're hoping to find an engineering manager that's excited to solve data-driven problems in an adversarial environment.
What you bring to the table:
4+ years of professional experience training and deploying models.
At least 3 years creating production models or building analysis in the industry
At least 1 year managing an engineering team of 3-5 people
Work authorization in the country in which you intend to be based.
Possess strong python software development skills.
You like building data driven systems and know SQL.
Have strong engineering fundamentals — you've built applications in python as well as trained model and are comfortable with supporting all layers of the stack.
Demonstrate tenacity and a willingness to go the distance to get something done. You don't mind doing things manually but automate at every opportunity.
Are inquisitive, intellectually curious and can make sense of complex systems or information.
Can work in a structured approach towards goals and pay attention to detail.
Can easily communicate with non-technical folks and translate their feedback into code.
Are comfortable defaulting to over-communication and overreaching when it comes to coordination.
Adjust quickly to changing priorities and conditions and cope effectively with complexity and change.
Have developed models that deal with extreme class imbalance
Have worked in a team of mixed talent before (Data Scientists, ML Engineers, Backend Engineers)
Have fraud or financial experience.
Key details:
Team Composition: The Risk Team is a combination of ML engineers, Operation Specialists, and Data Scientists. Functionally the team is comprised of three pillars (Operations, Data Science, and Engineering) that collaborate in all sprint and quarterly planning meetings to create a balanced roadmap. You will be responsible for the Data Science pillar and directly manage both Data Scientists and Engineers.
Team Philosophy: The team functions on a 2-week sprint cycle with a Results Only Work Environment meaning you won’t be micromanaged but instead given the creative space needed to thrive in a highly collaborative setting
Location:
Our company is 100% remote, and has been since we were founded. Sendwave hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Recruiting team can help answer any questions about location as we move further into recruiting process. For this role we are targeting candidates in between GMT -6 and GMT +2, hiring within these locations: Belgium, Canada, Costa Rica, France, Germany, Kenya, Poland, Senegal, UK and US.
Major benefits:
A competitive salary and company equity pegged to it
Subsidized health insurance and retirement contribution matching (both vary from country to country)
26 weeks fully paid parental leave and subsidized fertility assistance
Unlimited vacation with a 20-day minimum requirement
$10,000 annual charitable donation matching
And best of all:
Our team of over 400 employees, fully distributed across the world. We are working from coffee shops, homes, and coworking spaces — making us one of the larger fully distributed growth-stage startups in the world.
Proud parents, community organizers, farmers, play in bands, teach yoga, YouTube influencers, former Olympians, and serial entrepreneurs.
Our new collaborators at WorldRemit, another remittance company. We recently joined forces, and we’re excited about the ways we can continue to provide the best service to our users.
Please mention the word DAZZLED when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNw==). 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.
Benefits
🏖 Unlimited vacation
Location
Remote - Belgium, Canada, France, Germany, Kenya, Poland, Senegal, UK, and US.
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 Komoot and want to re-open this job? Use the edit link in the email when you posted the job!
About the role
Komoot is a tech company where data plays a decisive role. As our new senior data analyst, your work will be invaluable in driving key product decisions. Being part of a cross-functional team, you will work closely with product managers, developers, and designers to improve the user experience of millions of outdoor enthusiasts. You’ll surface user behavior, analyse trends, take part in shaping the product roadmap, identify the most valuable improvements and measure their impact in A/B tests.
Ready for your next adventure?
What you will do
Turn data into actionable insights about our users to drive product decisions
Spot strategic opportunities in the data and help shape squad roadmaps
Design metrics to measure the success of key features
Create visualisations to highlight trends and user behavior
Build dashboards and continuous reports to monitor product KPI’s
Design events to track new product features
Design and analyse A/B tests
Organize and prioritize tasks of our data analytics roadmap
Why you will love it
You’ll work with a truly inspiring product that brings real-life value to our users and empowers them to explore more of the great outdoors.
You’ll have a self-determined job with personal responsibility to move things forward, shape the processes and choose the tools you need to do your best work.
You’ll join an international and fully remote team spread across Europe with a common mission - to inspire great adventures, making them accessible to all.
We are a tech company with little organisational overhead, focusing on ownership and responsibility instead of micro-management and hierarchies.
You get 38 days of annual leaves (including public holidays, which vary by country)
This is a remote role in a fully remote team. You are free to work from anywhere that lies between the time zones UTC-1 and UTC+3. Beach? The mountains? Or a co-working space (covered by us)?
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. Check out these videos to find out more about us (https://bit.ly/39xtIrn).
You will be successful in this position if you
Love solving problems and have a burning desire to transform data into actionable insights
Have 3+ years of experience with product analytics, cohort analysis, A/B testing and retention analysis
Are fluent in SQL and Python data analytics libraries
Have great communication and team skills
Have Strong attention to detail
Are familiar with statistical concepts
Have a hands-on attitude and are highly self-driven
Curious to find out more about our recruitment process?
At komoot we want to make great adventures accessible to everyone. We support diversity and inclusivity within the outdoors and welcome all prospective applicants.
We have a rolling recruitment process – if this role is online it means it’s still open. We’re accepting applications and actively looking for the perfect candidate. Is it you?
Perks
38 days of vacation (incl. public holidays)
Dedicated time and budget to spend on your professional development: classes, conferences, books – you decide!
Discounts from leading outdoor and cycling brands
Flexible working hours and ability to work from anywhere in Europe
Three whole-company gatherings per year in beautiful locations
Optional “togetherness” trips with your team
Costs covered for your co-working space membership or your work from home office
The latest devices and equipment to do your best work
Please mention the word ENTRANCING when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNw==). 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.
Location
Europe
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 (#RMjE2LjczLjIxNi4xNw==). 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 Komoot and want to re-open this job? Use the edit link in the email when you posted the job!
**About the role**\nKomoot is a tech company where data plays a decisive role. As our new senior data analyst, your work will be invaluable in driving key product decisions. Being part of a cross-functional team, you will work closely with product managers, developers and designers to improve the user experience of millions of outdoor enthusiasts. You’ll surface user behaviour, analyse trends, take part in shaping the product roadmap, identify the most valuable improvements and measure their impact in A/B tests.\n\nReady for your next adventure?\n\n**What you will do**\n- Turn data into actionable insights about our users to drive product decisions\n- Spot strategic opportunities in the data and help shape squad roadmaps\n- Design metrics to measure the success of key features\n- Create visualisations to highlight trends and user behaviour\n- Build dashboards and continuous reports to monitor product KPI’s\n- Design events to track new product features\n- Design and analyse A/B tests\n- Organize and prioritize tasks of our data analytics roadmap\n\n**Why you will love it**\n- You’ll work with a truly inspiring product that brings real life value to our users and empowers them to explore more of the great outdoors.\n- You’ll have a self-determined job with personal responsibility to move things forward, shape the processes and choose the tools you need to do your best work.\n- You’ll join an international and fully remote team spread across Europe with a common mission - to inspire great adventures, making them accessible to all.\n- We are a tech company with little organisational overhead, focusing on ownership and responsibility instead of micro-management and hierarchies.\n- You get 38 days annual leaves (including public holidays, which vary by country)\n- This is a remote role in a fully remote team. You are free to work from anywhere that lies between the time zones UTC-1 and UTC+3. Beach? The mountains? Or a co- working space (covered by us)?\n- You’ll travel with us (when safe) for team gatherings in amazing locations several times a year. You can check out this playlist to find out more about how we stay close while being remote. (http://bit.ly/39xtIrn )\n\n**You will be successful in this position if you**\n- Love solving problems and have a burning desire to transform data into actionable insights\n- Have 3+ years of experience with product analytics, cohort analysis, A/B testing and retention analysis\n- Are fluent in SQL and Python data analytics libraries\n- Have great communication and team skills\n- Have Strong attention to detail\n- Are familiar with statistical concepts\n- Have a hands-on attitude and are highly self-driven\n\n**Curious to find out more about our recruitment process?**\n- Find out more info here: https://www.komoot.com/jobs-process\n- At komoot we want to make great adventures accessible to everyone. We support diversity and inclusivity within the outdoors and welcome all prospective applicants.\n- We have a rolling recruitment process – if this role is online it means it’s still open. We’re accepting applications and actively looking for the perfect candidate. Is it you?\n\n**Perks**\n- 38 days of vacation (incl. public holidays)\n- Dedicated time and budget to spend on your professional development: classes, conferences, books – you decide!\n- Discounts from leading outdoor and cycling brands\n- Flexible working hours and ability to work from anywhere in Europe\n- Three whole-company gatherings per year in beautiful locations\n- Optional “togetherness” trips with your team\n- Costs covered for your co-working space membership or your work from home office\n- The latest devices and equipment to do your best work \n\nPlease mention the word **INPRESSED** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNw==). 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\neurope
# 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 Horizon Media Holdings 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
\nHorizon Media’s Performance Media Analytics and Product team is seeking a marketing data scientist who can take a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to the agency’s Performance Media clients. Through technical implementation, optimization, and key solutions, you will produce innovative and actionable quantitative models and analyses to address the challenges of marketing effectiveness and business growth.\n\nHorizon Media’s Performance Media Group comprises of all standard buying activation channels (Search, Social, Programmatic, etc.), and the accompanying analytics and product teams create products and services that drive outcomes for their 70+ clients. The data scientist’s role is to provide the modeling and validation that undergird those products.\n\nResponsibilities \n\n\n* Lead analytics aspects of client engagements in the areas of marketing effectiveness and marketing portfolio management.\n\n* Drive innovation, primarily through developing models and customized measurement techniques to be used in SaaS applications.\n\n* Help merge marketing mix models, multi-touch attribution, and randomized controlled experiments to inform clients on how to best allocate investment.\n\n* Collaborate with clients to build an end-to-end machine learning framework. Engage various stakeholders, assess data readiness. Be able to scale a proof of concept to a larger solution.\n\n* Work with client and internal teams to translate data and model results into tactical and strategic insights that are clear, complete, accurate, relevant, understandable and applicable to decision making and needs for varying client audiences. Co-present to and work with clients to integrate recommendations into business processes.\n\n* Collaborate with Product/Engineering teams to increase and optimize capabilities, employing methods which create opportunities for scale, proactively helping to drive innovation.\n\n* Develop comprehensive understanding of Horizon Media data structures and metrics, advocating for product changes where needed.\n\n\n\n\nMinimum qualifications\n\n\n* Bachelor's degree in Statistics, Computer Science, Engineering, or Mathematics, related quantitative discipline, or equivalent practical experience.\n\n* 3 years of experience in data science in a professional capacity using statistical modeling, machine learning, forecasting and optimization. A focus on marketing analytics is a plus.\n\n* Experience in Python and/or R.\n\n* Experience in data management systems.\n\n\n\n\nPreferred qualifications\n\n\n* Master’s in Statistics, Computer Science, Engineering, or Mathematics.\n\n* Experience delivering bespoke analytics to stakeholders (problem scoping/definition, modeling, interpretation, presentation).\n\n* Experience with analytic software tools and languages such as SQL, R, TensorFlow, Python, SAS, SPLUS, and Eviews.\n\n* Client vertical experience, including retail, financial services/retail banking, insurance telecommunications, automotive and CPG with experience using or deploying digital analytics and measurement solutions.\n\n* Knowledge of the statistical algorithms typically used in Marketing Analytics.\n\n* Ability to visualize models and results, and debug and troubleshoot code and models.\n\n\n\n\nPhysical Requirements\n\n\n* Brain bending.\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, Python, Marketing, SaaS and Non Tech jobs that are similar:\n\n
$70,000 — $110,000/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!
# About komoot\nKomoot is an app that lets you find, plan, and share adventures. Driven by a desire to explore, and powered by the outdoor community’s recommendations, it’s Komoot’s mission to inspire great adventures making them accessible to all. And we’re good at what we do: Google and Apple have listed us as one of their Apps of the Year numerous times!\n\nToday, with over 23 million users and 200,000 five-star reviews, Komoot is well on its way to becoming the most popular cycling and hiking app for people who love adventures worldwide.\n\n**Join our fully remote team and change the way people explore!**\n\n\n**About the role**\nKomoot is a tech company where data plays a decisive role. As our new senior data analyst, your work will be invaluable in driving key product decisions. Being part of a cross-functional team, you will work closely with product managers, developers and designers to improve the user experience of millions of outdoor enthusiasts. You’ll surface user behaviour, analyse trends, take part in shaping the product roadmap, identify the most valuable improvements and measure their impact in A/B tests.\n\n**Ready for your next adventure?**\n\n\n**What you will do**\n- Turn data into actionable insights about our users to drive product decisions\n- Spot strategic opportunities in the data and help shape squad roadmaps\n- Design metrics to measure the success of key features\n- Create visualisations to highlight trends and user behaviour\n- Build dashboards and continuous reports to monitor product KPI’s\n- Design events to track new product features\n- Design and analyse A/B tests\n- Organize and prioritize tasks of our data analytics roadmap\n\n\n**Why you will love it**\n- You’ll work with a truly inspiring product that brings real life value to our users and empowers them to explore more of the great outdoors.\n- You’ll have a self-determined job with personal responsibility to move things forward, shape the processes and choose the tools you need to do your best work.\n- You’ll join an international and fully remote team spread across Europe with a common mission - to inspire great adventures, making them accessible to all.\n- We are a tech company with little organisational overhead, focusing on ownership and responsibility instead of micro-management and hierarchies.\n- You get 38 days annual leaves (including public holidays, which vary by country)\n- This is a remote role in a fully remote team. You are free to work from anywhere that lies between the time zones UTC-1 and UTC+3. Beach? The mountains? Or a co- working space (covered by us)?\n- You’ll travel with us (when safe) for team gatherings in amazing locations several times a year. You can check out this playlist to find out more about how we stay close while being remote. (http://bit.ly/39xtIrn )\n\n\n**You will be successful in this position if you**\n- Love solving problems and have a burning desire to transform data into actionable insights\n- Have 3+ years of experience with product analytics, cohort analysis, A/B testing and retention analysis\n- Are fluent in SQL and Python data analytics libraries\n- Have great communication and team skills\n- Have Strong attention to detail\n- Are familiar with statistical concepts\n- Have a hands-on attitude and are highly self-driven\n\n\n**Curious to find out more about our recruitment process?**\n- Find out more info here: https://www.komoot.com/jobs-process\n- At komoot we want to make great adventures accessible to everyone. We support diversity and inclusivity within the outdoors and welcome all prospective applicants.\n- We have a rolling recruitment process – if this role is online it means it’s still open. We’re accepting applications and actively looking for the perfect candidate. Is it you?\n\n\n**Perks**\n- Dedicated time and budget to spend on classes, events, conferences, boot camps, or books for your curiosity and personal development, you decide!\n- Blinkist subscription and discounts with outdoor brands like Patagonia and Wahoo\n- Flexible working hours and locations\n- Three all-expenses-paid company gatherings per year\n- The latest devices and equipment\n- And more! \n\nPlease mention the words **PREDICT SWEET FOREST** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNw==). 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\nEurope, Africa
# 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!
# About Komoot\nKomoot is an app that lets you find, plan, and share adventures. Driven by a desire to explore, and powered by the outdoor community’s recommendations, it’s Komoot’s mission to inspire great adventures making them accessible to all. And we’re good at what we do: Google and Apple have listed us as one of their Apps of the Year numerous times!\n\nToday, with over 23 million users and 100,000 five-star reviews, Komoot is well on its way to becoming the most popular cycling and hiking app for people who love adventures worldwide.\n\n**Join our fully remote team and change the way people explore!**\n\n\n**About the role**\nWe are now experiencing an accelerated growth and we're looking for an experienced Data Scientist dedicated to improving the 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 23 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\n**Ready for your next adventure?**\n\n\n**What you will do**\n- Work on a wide range of data science projects: Examples include improving the ranking and composition of our feed, bringing our follower recommendations to the next level and helping us keep users engaged.\n- Turn your ideas into data products ready for our production systems.\n- Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers).\n- Work with the Python Data Science Stack and a modern AWS infrastructure.\n- Identify how to best leverage our data to improve our platform.Discuss product improvements, technical possibilities and road maps.\n\n\n**Why you will love it**\n- You will deal with a diverse set of data (location data, social network, user content (images, text), external data sources like OSM, product analytics, ...).\n- You will go beyond prototyping and ship your code to production\n- You will contribute to a product with a vision to inspire more people to go outdoors.\n- You will work in a fast-paced startup with strongly motivated and talented co-workers.\n- You will enjoy the freedom to organize yourself the way you want .\n- We let you work from wherever you want, be it a beach, the mountains, your house, coworking center of your choice, or anywhere else that lies in any time zone situated between UTC-1 and UTC+3.\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**You will be successful in this position if you**\n- Have a passion for finding pragmatic and smart solutions to complex problems\n- Have a solid understanding of math and statistics\n- Have 3+ years of industry experience in data science\n- Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn and XGBoost/LightGBM/CatBoost\n- Bonus: TensorFlow, Keras or PyTorch\n- Know SQL\n- Love to write clean, maintainable and tested Python code\n- Have experience productionising your data science solutions\n- Have strong communication and team skills\n- Have a hands-on attitude and are highly self-driven\n- Bonus: Know statically typed languages such as Kotlin/Java/C or Go\n- Bonus: Have cloud experience (e.g. with AWS)\n- Bonus: Have BigData experience (e.g. Spark, Presto, Hadoop)\n\n\n**Curious to find out more about our recruitment process?**\n- Find out more info here: https://www.komoot.com/jobs-process\n- At komoot we want to make great adventures accessible to everyone. We support diversity and inclusivity within the outdoors and welcome all prospective applicants.\n- We have a rolling recruitment process. If this role is online it means it’s still open. We’re accepting applications and actively looking for the perfect candidate. Is it you?\n\n\n**Perks**\n- Dedicated time and budget to spend on classes, events, conferences, boot camps, or books for your curiosity and personal development, you decide!\n- Blinkist subscription and discounts with outdoor brands like Patagonia and Wahoo\n- Flexible working hours and locations\n- 3 all- expenses paid Company gatherings per year\n- The latest devices and equipment\n- And more! \n\nPlease mention the words **INFANT GENIUS SLIM** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNw==). 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\nEurope, Africa
# 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.
Remote Machine learning engineer for large scale ML project
**Promising drone-delivery startup is hiring a Dataset and Machine Learning Manager to work remotely. OneSec is working on a groundbreaking GPT-scale machine learning project to make autonomous delivery drones. In this job, you will build the Datasets and Neural Networks that fly our autonomous delivery drones. These drones will then deliver millions of meals and other packages in the real world.**\n\n##About OneSecondDelivery\nWe are creating a food delivery app that uses autonomous drones to deliver the food. We deliver everything 5 times faster and 100 times cheaper, thanks to small autonomous delivery-robots. The company was founded in 2017 by a leading expert on drone legislation and a successful e-commerce entrepreneur. The Swiss Federal Institute of Technology’s Vice Presidency of Innovation has recognized the large potential of this project and has supported us with the XGrant Prize and other resources.\n\nYou can check out our website OneSec.com for more info\n\n##Job Description\nOneSec is building one of the largest machine learning projects in the drone industry.\nWith our own photorealistic flight simulator, and a fleet of prototype drones, we are building one of the largest depth perception datasets in the world, with 60 million training samples. As well as an unsupervised pre-training pipeline with 400 million training samples. We are building a large computer cluster of NVIDIA and Tenstorrent chips to scale up our machine learning project to this scale. \n\n####Your job has 3 components:\n* Neural network training and optimization\n* Dataset management and generation\n* Supporting our hardware team in building up our exaflop-scale machine learning cluster\n\n####Here are some of the Neural Networks you will be building:\n\n-Delivery surface finder:\nA neural net that picks the optimal delivery surface within a balcony or backyard of a customer.\nUsually this will be a table or chair or a section of the floor that has enough clearance.\n\n-OneSec Fruxel Depthmap:\nThis is a convolutional neural network that takes camera images and generates a 3D representation of the space around the drone. Our pathplanner then uses this depthmap to plan a collision free path for the drone. This neural network represents the core of our autopilot system. \n\n-Delivery Clearance Model:\nThis model checks the camera images to see if the scene is safe to approach. We don't fly into a balcony if there's a human or dog in it. And when we approach a restaurant to pickup a package, we make sure the scene is clear of humans, pets etc.\n\n###Requirements\n* The most important thing is that you are excited about this project, and like the mission of our company.\n* Knowledgeable about machine learning and neural networks. Both practical and theoretical.\n* Experience with computer vision and convolutional networks\n* Experience with PyTorch and TensorFlow\n* Good computer skills, and general tech savvy: you will do many tasks like setting up recording devices to record datasets, creating small python programs for dataset labelling and management, post processing large image datasets etc.\n\n###Benefits:\n* Take part in a huge success story\n* Flexible work schedule\n* Competitive cash compensation\n* Equity compensation (become a partner in the company) \n\nPlease mention the words **AUTHOR EXCHANGE MARKET** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNw==). 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
$30,000 — $100,000/year\n
\n\n#Benefits\n
💰 Equity compensation\n\n
\n\n#Location\nEastern Europe, Latin America, South Asia, Middle East/Africa
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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.
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 (#RMjE2LjczLjIxNi4xNw==). 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.
**Company Description**\n\nData is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.\nOur Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.\n\n**Job Description**\n\nDo you get excited about all things Data? Are you looking for a role where you can see the tangible results of your work? If you're excited by solving hard, impactful problems and you have a passion for logistics then our Staff Data Scientist may be right for you.\n\n**Qualifications**\n\n* 7-10 years of commercial experience in a data science role solving high impact business problems\n* You have well built technical experience that inspires individual contributors creativity and innovation.\n* You have experience with product leadership and technical decision making.\n* You have been working closely with various levels of business stakeholders, from c-suite and down.\n* You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.\n* Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.\n* Experience creating data product strategies, data products, iterating after launch, and trying again.\n* Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals.\n\n**What would be great if you have:**\n\n* Previous experience using Spark.\n* Experience with statistical methods like regression, GLMs or experiment design and analysis.\n* Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.\n\n**Additional information**\n\nIf you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role. \n\nPlease mention the words **DRAGON TRIP ANNOUNCE** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNw==). 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\nCanada, United States
# How do you apply?\n\nYou can apply for the role here> https://smrtr.io/5mMwv
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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.
**Company Description**\n\nShopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.\n\nAt Shopify, we build products that help entrepreneurs around the world start and grow their business. We’re the world’s fastest growing commerce platform with over 1 million merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.\n\n**Job Description**\n\nData is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. \n\nOur Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.\n\n**Responsibilities:**\n\n* Proactively identify and champion projects that solve complex problems across multiple domains\n* Partner closely with product, engineering and other business leaders to influence product and program decisions with data\n* Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business\n* Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes\n* Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products\n* Influence leadership to drive more data-informed decisions\n* Define and advance best practices within data science and product teams\n\n**Qualifications**\n\n* 4-6 years of commercial experience as a Data Scientist solving high impact business problems\n* Extensive experience with Python and software engineering fundamentals\n* Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)\n* Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders\n* Curiosity about the problem domain and an analytical approach\n* Strong sense of ownership and growth mindset\n \n**Experience with one or more:**\n\n* Deep understanding of advanced SQL techniques\n* Expertise with statistical techniques and their applications in business\n* Masterful data storytelling and strategic thinking\n* Deep understanding of dimensional modelling and scaling ETL pipelines\n* Experience launching productionized machine learning models at scale\n* Extensive domain experience in e-commerce, marketing or SaaS\n\n**Additional information**\n\nAt Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities. Please take a look at our 2019 Sustainability Report to learn more about Shopify's commitments. \n\nPlease mention the words **STOVE SIEGE FRESH** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNw==). 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\nUnited States, Canada
# How do you apply?\n\nClick here to apply => https://smrtr.io/5njyK
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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 (#RMjE2LjczLjIxNi4xNw==). 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
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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.
This job post is closed and the position is probably filled. Please do not apply. Work for Shopify and want to re-open this job? Use the edit link in the email when you posted the job!
**Company Description**\n\nData is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.\nOur Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.\n\n**Job Description**\n\nDo you get excited about all things Data? Are you looking for a role where you can see the tangible results of your work? If you're excited by solving hard, impactful problems and you have a passion for logistics then our Staff Data Scientist may be right for you.\n\n**Qualifications**\n\n* 7-10 years of commercial experience in a data science role solving high impact business problems\n* You have well built technical experience that inspires individual contributors creativity and innovation.\n* You have experience with product leadership and technical decision making.\n* You have been working closely with various levels of business stakeholders, from c-suite and down.\n* You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.\n* Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.\n* Experience creating data product strategies, data products, iterating after launch, and trying again.\n* Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals.\n\n**What would be great if you have:**\n\n* Previous experience using Spark.\n* Experience with statistical methods like regression, GLMs or experiment design and analysis.\n* Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.\n\n**Additional information**\n\nIf you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role. \n\nPlease mention the words **WAY PURCHASE UPSET** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNw==). 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\nunited states, canada
# 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 IHS Markit 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
\nYour Role\nYou will be responsible for research and development of intelligence behind document structure understanding solutions as part of IHS Markit products. Your role is needed to design and implement intelligent content understanding pipelines from raw document to a structured knowledge.\n\nYour duties will include:\n\n\n* Technically lead the team of data scientists and ML engineers to develop production ready components based on recent SOTA approaches for CV and NLP\n\n* Hands-on researching, prototyping and building content understanding pipelines and working models as their components, including state of art neural architectures in combined Computer Vision and Natural Language Processing domains – data augmentation, model selection, pre-training, optimization, etc.\n\n* Converting business problems to data science tasks collaborating with Product and Project managers\n\n* Defining and/or influencing the strategy of research-intensive projects, including goal metrics, development process, toolsets and communications for optimal progress\n\n* Hunting for quality datasets, including driving the development of datasets from scratch\n\n* Learning and sharing new things around ML/DL for CV and NLP to keep the AI team on the cutting edge\n\n\n\n\nAbout You\nYou are a data scientist/deep learning engineer experienced in building the working intelligent solutions related to analysis of unstructured content, who is motivated by complex and fuzzy challenges. Your required qualifications and experience include:\n\n\n* Degree in data science, math & computer science, statistics or related field\n\n* 4+ years of professional experience in data science and deep learning with application to Computer Vision and/or Natural Language Processing\n\n* Soft skills of a technical leader for the team (communication, engagement, patience, motivation, integrity)\n\n* Strong programming skills in Python with engineering\n\n* Strong practical experience in building of own DL models with TensorFlow, Keras and/or PyTorch, etc.\n\n* Developed skills in algorithms and data structures\n\n* Solid understanding of statistics and math behind deep learning\n\n* English language (B1+)\n\n\n\n\nThe following will hugely increase our interest:\n\n\n* Application of Computer Vision to Document Understanding (OCR, object detection, text embedding with custom pre-training or other)\n\n* Strong experience with data analysis tools\n\n* PhD degree in related field\n\n* Publications in related domain\n\n* Linux user experience\n\n\n\n\nWhat we offer\n\nOpen and Collaborative Environment:\n\n\n* Own product development based on science and technology\n\n* Personal growth and career development supported on corporate level\n\n* Support of self-study and research\n\n* Development of own deep learning architectures\n\n* Getting custom datasets from the team of professional annotators\n\n* Training on powerful private GPU cloud\n\n* Research and application of state-of-art models\n\n* Development of own unique AI-driven products that work out-of-the-box and loved by world top companies\n\n* Great colleagues and open atmosphere at workplace\n\n* Knowledge and discoveries sharing inside and outside the team\n\n* Collaboration with a great team of ML professionals\n\n* Participation in international workshops and conferences\n\n* Continuous education with invited tutors and paid online programs\n\n\n\n\nEmployee benefits\n\n\n* English language classes\n\n* Employee stock options plans\n\n* Vacation time increase with tenure\n\n* Extended medical insurance for employees and their families\n\n* Personal accident coverage\n\n* Employee assistance program\n\n* Reimbursement of sports activities\n\n* Corporate and social events\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, Executive, Education, Math, Python, Medical and Engineer 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.
**Remote (Europe) | Full- time & Permanent role | Outdoor navigation app | 15+M users | 70 employees + 40 freelances | squad structure**\n\n**Senior Backend Developer/ Data Scientist @ komoot (Kotlin/Java/Scala) & Python**\n@ komoot We are building the best outdoor navigation planner and the biggest outdoor community and simply inspire people to explore more of the outdoors.\n\n**15million users | 100k 5* reviews**\n\nWe are now searching for a** Senior Backend Engineer/ Data Scientist** who would like to take their skills to the next level, love to find simple and smart solutions to complex problems and focuses on delivering impact.\n\n 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. \n 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). \n You’ll wrap up your algorithms into clean and scalable microservices in our modern cloud environment. \n 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**What you will do**\n* Work closely with our data scientists, web and mobile developers, designers, copywriters and product managers\n* Discuss product improvements, technical possibilities and road maps\n* Investigate and evaluate data science approaches for product enhancements (you can count on the support of experienced data scientists)\n* Turn prototypes into resilient and scalable REST APIs and background workers\n* Deploy and monitor your code in our AWS Cloud\n\n**You will be successful in this position if you**\n* Have a passion for finding pragmatic and smart solutions to complex problems\n* Have 3+ years of professional experience in backend development in the cloud\n* Have 2+ years of professional experience in Kotlin/Java/Scala\n* Have 2+ years of professional experience in Python\n* Know SQL and NoSQL\n* Have a solid understanding of math and statistics\n* Have a solid understanding of data science fundamentals\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn\n* Bonus: BigData experience (Spark, Presto, Hadoop)\n* Bonus: Infrastructure as Code\n* Bonus: Deployment, CI and monitoring\n* Have strong communication and team skills\n* Have a hands-on attitude and are highly self-driven\n\nFor more information you can click the apply link which will direct you to our website.\nTo find out more about how we recruit people/ salary etc you can follow this link: https://www.komoot.com/jobs-process\n \n\nPlease mention the words **TWENTY HAVE PLACE** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNw==). 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\nEurope
# How do you apply?\n\nIf this sounds like you we would love to hear from you.\nPlease follow the apply link and send us:\n\n* Your CV\n* A write-up explaining who you are and why you are interested in working at komoot\n* Examples of your work (e.g. GitHub, PDFs, Slideshare, etc.)\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, or your OpenStreetMap profile if you have one\n
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This job post is closed and the position is probably filled. Please do not apply. Work for Sporty and want to re-open this job? Use the edit link in the email when you posted the job!
### Company Overview\nSporty is a mobile internet company with a focus on emerging markets. Our integrated sports media, betting, gaming and social platform serves a huge userbase across numerous countries. We have a talented and proven team of 200+ people comprised of 50+ tech staff and 150+ product, operations and support, and are looking to expand our tech team count to 100+ people as we look to drive further geographical expansion, whilst iterating on our offering with a user-driven development approach.\n\n### Tech Stack\n* Oracle\n* mySQL\n* AWS/RDS\n* Python\n* Metabase\n\n### Benefits\n* Competitive salary \n* Quarterly bonuses \n* Flash bonuses \n* Top-of-the-line equipment \n* Pick your own working hours (We are at GMT+8, and 4 hours overlap is required.)\n* 20-days paid leave \n* Referral program \n* Education allowance (conferences, books, training courses, Udemy, Coursera, etc.) \n* Annual company trips (eg next year Koh Samui, Thailand) \n* Small enough to allow you to have a big impact \n* Large enough to provide structure and clarity \n* Highly-talented, dependable co-workers \n* Global, multi-cultural organization\n# Responsibilities\n* Delivering clear analysis and reporting of core business metrics to shareholders\n* Creation and management of reports and dashboards\n* Monitoring the performance of key business products\n* Providing actionable insight to drive growth of core products\n* Extraction and analysis of large data sets from MySQL/Oracle DBs\n* Ad hoc analysis and reporting to clients and shareholders\n\n# Requirements\n* Delivering clear analysis and reporting of core business metrics to shareholders\n* Creation and management of reports and dashboards\n* Monitoring the performance of key business products\n* Providing actionable insight to drive growth of core products\n* Extraction and analysis of large data sets from MySQL/Oracle DBs\n* Ad hoc analysis and reporting to clients and shareholders \n\nPlease mention the words **TOMORROW ACID BRACKET** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNw==). 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
$20,000 — $70,000/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 Strong Analytics 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 3 years ago
\nStrong Analytics is seeking a data scientist to join our team in developing machine learning pipelines, building statistical models, and generally helping our clients discover value in their data.\n\nAt Strong, we pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying statistics and machine learning to real-world problems where data must be gathered, transformed, cleaned, and integrated into some larger architecture.\n\nWe offer a comprehensive compensation package, including:\n\n\n* Competitive salary\n\n* Profit sharing or equity, based on experience\n\n* Health, dental, vision, and life insurance\n\n* Four weeks paid vacation\n\n* 401k with employer matching\n\n\n\n\nRequirements\n\nCandidates will be evaluated based on their experience in the following areas (though no one is expected to be an expert in each of these):\n\n\n* Statistical modeling and hypothesis testing\n\n* Applying machine learning to real-world problems\n\n* Writing clean SQL and ETL pipelines\n\n* Building Python applications\n\n* Building deep neural networks with modern tools, such as PyTorch or Tensorflow\n\n* Integrating with various RDBMS (e.g., Postgres, MySQL) and distributed data stores (e.g., Hadoop)\n\n* Deploying applications into cloud-based infrastructures (e.g., AWS)\n\n* Creating and interacting with RESTful APIs\n\n* Managing *nix servers\n\n* Writing unit tests\n\n* Collaborating via Git\n\n\n\n\nApplicants with a PhD in a quantitative field are preferred; however, all applicants will be considered based on their experience and demonstrated skill/aptitude.\n\nApplicants should have the ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Python, Travel, Stats and Non Tech 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.
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