Remote data scientist careers
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Today’s snapshot
The 20 best matches, newest first. Salary is shown wherever the employer states one.
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The data behind this page
01
899 roles are live right now, and 90 of them were posted in the last seven days.
Postings still live, per week, over the last 12 weeks. The earlier weeks read low: the roles that have been filled are no longer counted.
02
The median advertised salary is $177K a year. Senior roles come in at $192K.
* Of the offers that state a seniority.
03
The entry-level and mid-level data science market is competitive. University programs and bootcamps have produced large numbers of data scientists at the three-to-six year experience range, and companies have become more selective about what those roles actually require. The senior market is substantially different. Data science leaders who can define the research agenda, translate business problems into modeling approaches, lead a team of data scientists with different specializations, and communicate results to executive audiences without losing technical credibility are rare. Lead Data Scientist, Head of Data Science, and VP Data Science roles at product companies attract far fewer qualified applicants than their headcount allocation would suggest. The saturation narrative that applies broadly to data roles does not apply at this level.
Median advertised salary by seniority. 10 more roles state a salary but no seniority.
04
The research-to-production gap is the defining filter at the senior level. Data scientists who have built models but have not demonstrated experience deploying them into production systems are screened out of senior roles by companies that treat production ML as a required competency rather than a separate engineering responsibility. A second filter is the academic framing problem: data scientists who came from research backgrounds and describe their work in terms of methodological rigor and publication-standard analysis rather than business impact and product integration are frequently deprioritized by commercial companies hiring for applied roles. Third, LLM and generative AI currency has become a screening factor even for data scientists in traditional ML domains: companies expect senior data scientists to have engaged with foundation model tooling and to be able to reason about when to use fine-tuning vs. prompting vs. retrieval-augmented approaches.
Share of the live postings naming each skill.
05
Remote data science hiring is strongest at the senior individual contributor and lead level in companies where data science output is embedded in the product or in core business decisions. AI-native companies, recommendation systems businesses, fintech with ML-driven risk models, and healthcare technology with clinical analytics needs are the most active remote hirers of senior data scientists. Head of Data Science and VP Data Science roles are increasingly remote at distributed companies, particularly where the data science function reports into a CTO or Chief Data Officer who is also remote. Staff Data Scientist and Principal Data Scientist titles, common at large technology companies, are also consistently remote-eligible.
roles hire from anywhere in the world, with no country requirement at all.
Open roles by the geography the employer can hire from. Totals overlap where a role covers several countries.
Every page below is built the same way as this one: live roles first, then the data behind them.
Parent category: Remote Data Jobs
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