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 (#RMjE2LjczLjIxNi4xMjU=). 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 (#RMjE2LjczLjIxNi4xMjU=). 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 Relevance AI and want to re-open this job? Use the edit link in the email when you posted the job!
## Don't wait to be employee #500, join as #20\n\n**[Relevance AI](https://relevance.ai)** is making it easy for data scientists and developers to solve relevance and similarity problems using our vector platform. With the pace that the ML industry is growing there's a gap for great products to make data teams more efficient. Our product is enabling teams from startups to enterprises to **experiment faster** with an API for vectors (deep learning embeddings) and **communicate more clearly** with beautiful visualisations. Join our well-funded team to build a platform that's powering data scientists delivering better products to millions of end-users.\n\n### Why is Relevance the next success story?\n* 💪We're **backed by Insight Partners** as one of their earliest investments on record.\n* 🚀We're **growing rapidly** finding customers in older enterprises and newer startups.\n* 📖We've got an insanely **talented team** with each person an expert in their craft.\n* 🔮We've identified a gap in the market that we're uniquely positioned to solve.\n\n### Why join Relevance?\n* ✨**Have a big impact, every day**. You'll influence the product and our customers with everything you do.\n* 📸**Be part of a memorable journey**. We have a big vision for where we want to take Relevance and we want to make sure along the way you build memories for a lifetime.\n* 🌏**Work from anywhere**. Our HQ is in Sydney with a beautiful harbour view where our whole team is welcome but you can work from anywhere in the world.\n\n### Okay, we've got you interested. What's the role?\n**You will be responsible for building and shipping new features in our API.** We use JavaScript (TypeScript) and Node in our backend.\n\n### What are we looking for?\n* Clear and effective **communication** for asynchronous remote work.\n* Deep understanding of APIs and web technologies.\n* Extensive experience with **JavaScript**, Node and the ecosystem around it.\n* Previously worked on **API-first** products at scale.\n* A positive attitude 🙃\n* No prior knowledge of ML or Data Science is required.\n\n### What's the hiring process?\nWe start off with a 30 minute interview to get to know eachother. If there's a fit we'll have another chat with some team members and share more details about the tasks at hand and learn more about your work experience.\n\n### More about us\n* ✅Check out our [website](https://relevance.ai) and [docs](https://docs.relevance.ai).\n* ✅Read about our [fundraise](https://www.afr.com/street-talk/insight-partners-goes-early-with-relevance-ai-s-3m-raise-20211203-p59el9).\n\nRelevance AI is an equal opportunity employer and we'd like to encourage anyone that sees themselves working with us to apply!\n\n \n\nPlease mention the word **MESMERIZED** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMjU=). 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
$70,000 — $150,000/year\n
\n\n#Benefits\n
⏰ Async\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.
**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 (#RMjE2LjczLjIxNi4xMjU=). 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
👉 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 (#RMjE2LjczLjIxNi4xMjU=). 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.
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 well-funded team building open source tools for ML workflow. Our first and core project, [DVC](https://github.com/iterative/dvc), has excellent traction and positive feedback from community. Our mission as a company is to build tools for engineers and data scientists that they love to use.\n\n**Our culture/what we offer:**\n\n- Team is distributed remotely worldwide.\n- Highly competitive salary, stock options, and bonuses.\n- Open source.\n- Founders and team with strong engineering, data science, and open source experience. We all code and understand engineering first-hand.\n- Engineering team is involved into product discussions and planning. We do it openly via [Github](https://github.com/iterative/dvc) or Discord [chat](https://dvc.org/chat).\n- Besides building the product we participate in conferences (PyCon, PyData, O'Reilly AI, etc). We encourage and support the team in giving talks, writing blog-posts, etc.\n- Well-defined process that we all participate in improving.\n\n**Join us if you like us love building open source and developer tools!**\n\n# Responsibilities\n
- Discuss and research issues, features, new products.\n- Write code (see some [PR examples](https://github.com/iterative/dvc/pulls?q=is%3Apr+is%3Aclosed) ).\n- Write docs if needed for your code (see this [repo](https://github.com/iterative/dvc.org )).\n- Being actively involved with the community - talk to users on Github, Discord, forum. \n\n# Requirements\nStrong Python knowledge and excellent coding culture (standards, unit test, etc) are required. Alternatively, strong skill in other languages along with some knowledge of Python is also acceptable.\n\n**Must have:**\n\n- Motivation and interest\n- Remote work self-discipline\n- Excellent communication skills - clear, constructive, and respectful dialog with other team members, community.\n- Can focus and deliver a task w/o constantly switching to other stuff - respect team's planning, deadlines, etc\n\n**Great to have:**\n\n- Experience working remotely\n- Open source contributions or experience of maintaining, developing an open source project\n- System programming experience - kernel, databases, etc.\n- Machine learning or data science experience \n\nPlease mention the words **OCCUR LOUD GLOVE** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMjU=). 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 Python, Machine Learning, Data Science, Senior, Engineer, Developer and Digital Nomad jobs that are similar:\n\n
$70,000 — $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 Doximity and want to re-open this job? Use the edit link in the email when you posted the job!
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\nDoximity’s social network has over 70% of US doctors as members. We recently launched a newsfeed which helps physicians navigate the latest practice-changing medical literature, parsing through millions of scientific studies while personalizing content to their patient base and every stage of their medical career. We’re looking for a deep learning expert to help our data science and engineering teams build models in support of the newsfeed, combining metadata from our clinician social graph with text-based features.\n\nHow you’ll make an impact:\n\n-Apply NLP methods and build deep neural networks to personalize medical content to our clinician -members.\n-Optimize the layout of different content types (e.g., journal articles, news articles, video, social updates) within the newsfeed.\n-Collaborate with data engineers to devise plans to refresh the newsfeed and surface optimized content to users near real-time.\n-Provide technical leadership to other data scientists and data engineers working on the newsfeed product.\n\nWhat we’re looking for:\n\n-4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n-4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.\n-Experience building deep neural networks in support of recommendation systems.\n-Solid engineering skills to build scalable solutions and help automate data processing challenges.\n-Desire to provide technical leadership and mentorship to other data team members.\n-Expert knowledge of probability and statistics (e.g., experimental design, optimization, predictive modeling).\n-Excellent problem-solving skills and ability to connect data science work to product impacts.\n-Fluent in SQL and Python; experience using Apache Spark (pyspark).\n-Experience working with relational and non-relational databases.\n\nNice to have:\n\n-Experience applying reinforcement learning to industry problems.\n\nAbout Doximity\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\nDoximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. \n\nPlease mention the words **TRIM MUFFIN LIGHT** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMjU=). 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 Python, Machine Learning, Data Science, Senior, Medical and Apache jobs that are similar:\n\n
$80,000 — $127,500/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 Doximity and want to re-open this job? Use the edit link in the email when you posted the job!
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\nDoximity’s social network has over 70% of US doctors as members and 40M connections among them. We currently are looking for a data scientist to lead a team of other data scientists, data engineers and data analysts with the goal of utilizing this medical graph to better connect and promote discussion among our clinician members.\n\nHow you’ll make an impact:\n\n-Build link prediction models to recommend colleagues for our members to connect and engage with (the “people you may know” problem) to increase user engagement across Doximity’s platforms.\n-Leverage data from Doximity’s social graph to improve the user personalization models that recommend medical and social content to our clinician members.\n-Discover trends and new business opportunities from physician’s medical claims and referral networks.\n-Provide technical leadership to other data scientists and data engineers working on our growth and colleaguing product teams.\n\nWhat we’re looking for:\n\n-4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n-4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.\n-Experience applying graph theory, analytics, and processing to industry problems.\n-Solid engineering skills to build scalable solutions and help automate data processing challenges.\n-Desire to provide technical leadership and mentorship to other data team members.\n-Excellent problem-solving skills and ability to connect data science work to product impacts.\n-Fluent in SQL and Python; experience using Apache Spark (pyspark)\n-Experience working with relational and non-relational databases.\n\nNice to have:\n\n-Experience with neo4j and either Spark GraphX or GraphFrames for performing graph analytics\n\nAbout Doximity\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\nDoximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. \n\nPlease mention the words **SKIN PROUD MAJOR** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMjU=). 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 Python, Machine Learning, Data Science, Senior, Stats, Medical and Apache jobs that are similar:\n\n
$80,000 — $125,000/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 Doximity and want to re-open this job? Use the edit link in the email when you posted the job!
Doximity is the leading online medical network with over 70% of U.S. doctors as members. We have strong revenues, profits, real market traction, and we’re putting a dent in the inefficiencies of our $2.5 trillion U.S. healthcare system. After the iPhone, Doximity is the fastest adopted product by doctors of all time. Launched by Jeff Tangney in 2011; Jeff previously founded healthcare pioneer Epocrates (NASDAQ: EPOC). Our beautiful offices are located in SoMa San Francisco.\n##Skills & Requirements\n- 4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n- 4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, deep learning) and parameters that affect their performance.\n- Expert knowledge of probability and statistics (e.g., experimental design, optimization, predictive modeling).\n- Experience with recommendation algorithms and strong knowledge of machine learning concepts.\nSolid engineering skills to build scalable solutions and help automate data processing challenges.\n- Excellent problem-solving skills and ability to connect data science work to product impacts.\n- Fluent in SQL and Python; experience using Apache Spark (pyspark) and working with both relational and non-relational databases.\n- Familiarity with AWS, Redshift.\n\n##What you can expect\n- Employ scalable statistical methods and NLP methods to develop machine learning models at scale, owning them from inception to business impact.\n- Leverage knowledge of recommendation algorithms to increase user engagement through personalization of delivered content.\n- Plan, engineer and measure outcomes of online experiments to help guide product development.\n- Collaborate with a team of product managers, analysts, data engineers, data scientists, and other developers.\n- Think creatively and outside of the box. The ability to implement and test your ideas quickly is crucial.\n\n##Technical Stack\n- We historically favor Python and MySQL, but leverage other tools when appropriate for the job at hand.\n- Machine learning (linear/logistic regression, ensemble-models, boosted-models, clustering, NLP, text categorization, user modeling, collaborative filtering, etc) via industry-standard packages (sklearn, nltk, -Spark ML/MLlib, GraphX/GraphFrames, NetworkX, gensim).\n- A dedicated cluster is maintained to run Apache Spark for computationally intensive tasks.\n- Storage solutions: Percona, Redshift, S3, HDFS, Hive, neo4j.\n- Computational resources: EC2, Spark.\n- Workflow management: Airflow.\n\n##Fun facts about the Data Science team\n- We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of healthcare professionals and their connections.\n- We build code that addresses user needs, solves business problems, and streamlines internal processes.\n- The members of our team bring a diverse set of technical and cultural backgrounds.\n- Business decisions at Doximity are driven by our data, analyses, and insights.\n- Hundreds of thousands of healthcare professionals will utilize the products you build.\n- A couple times a year we run a co-op where you can pick a few people you'd like to work with and drive a specific company goal.\n- We like to have fun - company outings, team lunches, and happy hours! \n\nPlease mention the words **LIFE DISAGREE TREND** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMjU=). 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 Python, Machine Learning, Data Science, Senior, Apache, Medical and Engineer jobs that are similar:\n\n
$80,000 — $125,000/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 Simply Business and want to re-open this job? Use the edit link in the email when you posted the job!
\nIf you’re smart, passionate about technology and enjoy solving complex technical challenges then you should apply to join our best-in-class tech team. We believe that people are our most important asset and one worth protecting. As such, we’re known for creating an enviable working culture to keep our employees smiling on a day to day basis. \n\nWe offer things such as flexible hours, remote working, fortnigtly hackathons and freedom to work on projects of individual interest to name just a few. In fact, our impressive working culture has recently earned us 1st place in the Sunday Times 100 Best Companies to Work for 2015. \n\n\nWe have two different positions.\n\n\n1. Senior Developers who would like to lead a team / projects - We envisage the split here being about 70% hands-on coding and 30% leading the team, liaising with product owners on prioritization work, attending iteration planning meetings with stakeholders, delegating tasks to dev team, and making sure we are following Lean / Agile processes correctly.\n\n\n2. Senior Developers who want to be 100% coders (non-lead) - This role will be 100% hands on working with our other Devs to code beautiful products for our customers! \n\n\n\nSome of our Current Projects: \n\nSeedy - Our custom built CMS. A hybrid, markdown based, sinatra driven CMS but with a TDD undercurrent. Content changes are no different to backend refactoring. Templates are written in a custom DSL that enforces our style guide while still supporting iterative changes and automatic deployment. Across the company people (including business teams) are now being tagged in pull requests and even writing code!\n\nAerie - We’re overhauling our data and analytics architecture. Using the latest approaches in event streaming, we are building a brand new data pipeline based on Kinesis and Redshift that will support the analysis of both structured and semi-structured data in near real-time. This will provide rapid and intuitive customer insight to our decision makers, while also providing exciting machine learning capabilities back to our core product offering.\n\nAAA - We are enhancing our new world platform. Our current focus is on security with a view to building out ‘infrastructure as code’ using tools such as AWS CloudFormation, AWS OpsWorks, Chef/Puppet and many others. Essentially, we believe a well architected system allows us to avoid unnecessary complexity and can enable individuals to generate great output.\n\nOur Tech Stack\n\n\n\n\n* Ruby\n\n* Rails \n\n* Scala \n\n* MongoDB\n\n* RabbitMQ\n\n* Puppet/Boxen\n\n* AWS \n\n* Hadoop / RedShift / Looker /Tableau\n\n* Cucumber / RSpec / Jasmine \n\n* SASS / HAML / HTML5 / CSS3 / JavaScript / CoffeeScript / jQuery\n\n\n\n\n\nThis list changes all the time, as being on the lookout for new technology trials and opportunities is part of our code. We don’t believe in limiting ourselves, or the company. If there are other tools that could get the job done better, we’re committed to exploring them.\n\nThings we believe in:\n\n\n\n\n* TDD / BDD\n\n* Continuous Delivery\n\n* Pair Programming\n\n* Build – Measure - Learn\n\n* Active participation to open source\n\n* Our business people writing code (we've not seen this anywhere else!) \n\n* Cross functional teams (Dev / QA/ Data / UX / Product owners all sitting together) \n\n* Release early and learn quickly - we release our software to production around 15 times a day on average! \n\n* Continuous learning - we look to pay for courses and conferences and actively encourage our Devs to get out and about in the community. We have even sent some of our Devs to Miami, Portugal and Barcelona for conferences recently. \n\n* Have fun! We do ruby coding challenges during lunchtimes over pizza, we have desk beers on a friday, we have several social events throughout the year, we do fortnightly hackathons, we have afterwork clubs like: UX, Data science and Robotics club, we have flexible working hours, weekly 'show n tell' sessions, and lot's more! \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 JavaScript, InfoSec, Java, Cloud, CSS, Quality Assurance, HTML, Python, Scala, Ruby, Admin, Machine Learning, Data Science, Senior, jQuery, Sys Admin, Backend, Design and Digital Nomad 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.
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