UpGuard Sep 14
Product Data Science Lead
Who are we? At UpGuard, we are replacing manual security bottlenecks with AI-driven precision. Fresh off a US$75M Series C, we are scaling our infrastructure to process 100 billion risk…
Remote job category
Remote Data Science & Analytics jobs.
Whether you crave gig-style flexibility or full-time stability, the remote Data Science & Analytics landscape here covers the spectrum. Listings ship with clearly defined deliverables, not vague “rock-star” fantasies. Hit the ones that resonate, let automated scheduling handle interviews, and start contributing from a workspace that blends family, hobbies, and deep-work blocks without compromise.
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Affirm Sep 14Analytics Engineer II
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters…
- Affirm Sep 14
Analytics Lead, Full Stack
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters…
- Affirm Sep 14
Analyst II, Full Stack (Revenue Analytics)
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters…
Reka Sep 14Member of Technical Staff (Data Intelligence)
In this role, you’ll work closely with model researchers, data infrastructure engineers, and cross-functional partners to make sure our data is high quality and can be produced at petabyte scale…
Playson Sep 14Senior Game Mathematician
About the Role Playson is a leading online gaming supplier with worldwide recognition which was founded in 2012. We offer complete gaming solutions based on the latest technologies and detailed…
Nebius Sep 14Senior ML Engineer (AI Research, Physical AI)
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from…
Ruby Labs Sep 14Data Engineer (Marketing Systems)
About usRuby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our…
Invisible Technologies Sep 14Video Collection (LATAM) – Freelance AI Trainer Project
We’re looking for experts in LATAM to record short, first-person videos of everyday manual tasks using a head-mounted smartphone. Tasks include household activities such as cleaning, organizing, and laundry, as…
Dutchie Sep 13Brands Analyst
About Dutchie Founded in 2017, Dutchie is a comprehensive technology platform powering dispensary operations, while providing consumers with safe and easy access to cannabis. Dutchie aims to further support the…
Category guide
Work from home in Data Science & Analytics.
What to expect from this collection and how remote teams hire for this discipline.
Our listings include a wide range of remote opportunities for data science professionals, including data analysts, data scientists, machine learning engineers, and many more. Whether you’re just starting out in your career or have years of experience, we have something for everyone.
We work with reputable companies and individuals who are looking for talented and skilled data science professionals to join their teams. Our remote job listings offer the flexibility to work from anywhere in the world while still providing the opportunity to work with some of the most innovative and exciting companies in the industry.
As a data science professional, you play a crucial role in helping companies make data-driven decisions. With our remote job listings, you can apply for opportunities that allow you to put your data science skills to use and work on exciting projects from anywhere in the world.
Take the first step towards finding your dream remote job in data science by browsing our listings today. We update our listings regularly, so make sure to check back often for new opportunities. With our help, you can take your data science career to the next level while working remotely.
Category FAQ
Before you apply.
Practical answers tailored to remote Data Science & Analytics work, applications, tools, and distributed-team expectations.
What programming languages are required for remote Data Science & Analytics?
Advanced mastery of Python or R, coupled with expert SQL querying capabilities for complex relational database manipulation, is standard across tech companies.
What data stack tools are common in distributed teams?
Expect to work with cloud data warehouses (Snowflake, BigQuery), business intelligence tools (Tableau, Looker), and data pipeline management tools (Airflow).
How do remote companies evaluate data modeling performance?
Performance is measured by pipeline reliability, algorithmic model accuracy, execution latency, and how effectively your insights translate to revenue growth.
How do data scientists present findings to remote executives?
You will create interactive data dashboards, write comprehensive summary briefs in Notion, and present visual slideshows over video syncs.
Is data architecture security strict for remote workers?
Extremely. Remote data professionals access secure staging and production clusters via strict enterprise VPN configurations and encrypted access keys.
Do remote Data Science & Analytics jobs require an advanced degree?
Many enterprise positions request a Master’s or Ph.D. in quantitative fields, but high-growth startups heavily prioritize solid commercial machine learning portfolios.
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