Remote data scientist careers

Remote Data Scientist Jobs

Explore exciting remote Data Scientist opportunities at Jobgether. We help connect skilled data scientists with innovative companies looking for talent on a global scale. Don't miss out on your chance to work remotely—check out our Data Scientist roles and consider related positions like Machine Learning Engineer.

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Today’s snapshot

899 Active jobs
90 Added this week
$177K Median salary Senior: $192K
Top skills Python (Programming Language) · Machine Learning · SQL (Programming Language)

899 remote data scientist roles

The 20 best matches, newest first. Salary is shown wherever the employer states one.

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01

How many remote data scientist jobs are there right now?

899 roles are live right now, and 90 of them were posted in the last seven days.

899
live roles
90
added this week
115 Aug 3 Oct 19

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

How much do remote data scientist jobs pay?

The median advertised salary is $177K a year. Senior roles come in at $192K.

$177K
median advertised
$192K
senior median
76%*
senior or above

* Of the offers that state a seniority.

03

How does pay change as you move up?

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.

$80K
$97K
$147K
$192K
$257K
Entry-level Junior Mid Senior Lead

Median advertised salary by seniority. 10 more roles state a salary but no seniority.

04

Which skills do these employers actually ask for?

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.

1
80%
2
71%
3
63%
4
37%
5
23%
6
20%
7
19%
8
18%
9
17%
10
17%

Share of the live postings naming each skill.

05

Where can I work these jobs from?

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.

44

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.

Before you apply

Is the remote data science market too competitive for senior professionals?

At the mid-level, yes. At the senior and lead level, particularly for data scientists who combine modeling depth with production deployment and business translation capability, the market has significantly fewer qualified candidates than open roles.

What technical skills differentiate senior data scientists in the remote market?

Production ML deployment experience is the most consistent differentiator. Beyond that, causal inference and experimentation design (A/B testing at scale, quasi-experimental methods), NLP and LLM integration experience, and the ability to architect end-to-end ML pipelines are strong differentiators in 2026.

How has generative AI changed what companies expect from senior data scientists?

Significantly. Companies expect senior data scientists to be conversant with LLM tooling, to understand when foundation models are appropriate vs. custom ML, and to be able to build evaluation frameworks for generative outputs. Professionals who have not engaged with this layer are viewed as behind the current market regardless of their classical ML depth.

What industries offer the most remote senior data science opportunities?

Technology companies with AI-driven products lead by volume. Fintech (risk modeling, fraud, credit), healthcare technology (clinical decision support, imaging), and e-commerce (recommendation, pricing, demand forecasting) follow. Consulting firms and data analytics vendors also hire senior data scientists remotely for client-facing and internal roles.

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Parent category: Remote Data Jobs

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