Remote data scientist jobs
Remote data science seats are concentrated at a handful of companies: Netflix lists all four of its US data scientist reqs as ‘Remote, United States’ with a $280,000–$421,000 band, Airbnb’s three open reqs are all US-remote-eligible, Pinterest’s DS II is remote with in-person collaboration one to two times a quarter, Spotify’s Work From Anywhere program covers its New York-based reqs, and five of Microsoft’s 15 DS reqs are remote (all Senior or Principal). The programs below are the ones where remote is a real option; Amazon (five days in office), Meta, Google and Apple (hybrid, about three days), OpenAI (three days, one remote req), Uber (at least half your time in office) and DoorDash (hybrid) are not.
5 of 12 ranked programs match · Last verified October 11, 2026 · See the full Data Scientist List →
Netflix data scientists are embedded partners to product and business teams, centered on A/B testing and causal inference; model building sits in a separate ML Scientist track. Hiring is rolling, experienced-only and fully remote in the US, with salary-only pay.
Salary band, hiring status & score breakdown — see the full Netflix Data Scientist page →Netflix interview guide →
Pinterest data scientists partner with engineering, product, ads and marketing on metrics, experimentation and measurement: the Infrastructure DS II req is measurement and data-foundations work, and the grad req is product analytics with A/B testing. The work is analytics and inference first, with forecasting on some Staff reqs; experienced hiring is rolling and university hiring is seasonal.
Salary band, hiring status & score breakdown — see the full Pinterest Data Scientist page →Pinterest interview guide →
Airbnb data scientists work on growth, pricing, marketplace ranking and AI-driven support using causal inference, experimentation and ML. Hiring is rolling through Greenhouse; volume is small and skews Staff, and every open req is remote-eligible.
Salary band, hiring status & score breakdown — see the full Airbnb Data Scientist page →
Microsoft data scientists sit in the Data Science discipline inside product and business teams such as M365 Copilot, marketing analytics and customer engineering. The posted DS II role is ML-heavy (LLM evaluation, RAG, experimentation), and mid-level hiring is thin, with most open reqs at Senior and Principal.
Salary band, hiring status & score breakdown — see the full Microsoft Data Scientist page →Microsoft interview guide →
Spotify’s US data scientists work in Product Insights for the Music Mission (Discovery Mode, Marquee, Showcase): metrics, dashboards and experiments, with ML model evaluation on the newer req. It is product analytics and experimentation, some of it ML-adjacent, hired one req per team on a rolling basis.
Salary band, hiring status & score breakdown — see the full Spotify Data Scientist page →Spotify interview guide →
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