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Remote Data Science Jobs

Remote data science jobs are available, but the market is selective: Remoote found 51 active searchable remote roles from 36 companies using the Data Science title filter, with 36 showing salary information, last checked June 16, 2026. Listings change quickly, so use the current results below to confirm fit before applying.

Data Science
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58 jobs found

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Shown 1-10 of 58
100% remote; must reside in U.S.Full-TimeDigital Sports PlatformPosted
Director of Data Science
Company:Fanatics Collectibles
  • Collaborate with operations, finance, marketing, and engineering to scope and execute data science projects.
  • Develop statistical and machine learning models to solve business problems and analyze complex data relationships.
  • Partner with the data engineering lead to ensure high-quality data ingestion and service delivery.
  • Build, recruit, and coach a high-performing data science team.
  • Own the development of data visualizations and dashboards to drive actionable insights.
  • Establish playbooks to drive consistent outcomes in data product development.
  • Lead the full model development lifecycle from problem discovery to deployment and monitoring.
  • Evangelize data science and promote a data-driven culture across the company.
PythonSQLMachine Learning+6 more

336k - 356k USD per year

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Remote, SpainFull-TimeFintechPosted
Data Science Manager (Credit)
Company:Moniepoint(1000-5000 employees, Credit, Financial Services, Banking)
  • Develop credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections
  • Design and run experiments to optimise approval rates, loss rates, and profitability
  • Partner with product squads to embed decision logic into real-time systems
  • Ensure data quality, compliance, and ethical use of models across all decisioning processes
  • Mentor product squads on best practices in experimentation and data-driven decision making
  • Provide models to optimise outcomes in collections, churn management and user retention
PythonSQLMachine Learning+3 more

Competitive salary, individual performance bonuses, and firmwide performance bonus

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WarszawaRondo Ignacego Daszyńskiego 1Belgrad+9 more locationsFull-TimeData SciencePosted
Data Science Engineer
  • Lead the entire machine learning model lifecycle, from initial research and hypothesis testing to production deployment and maintenance.
  • Translate complex business goals into well-defined data science problems and quantifiable metrics.
  • Design and develop robust, scalable machine learning systems from scratch, including data analysis, annotation, and processing pipelines.
  • Contribute to the overall system architecture and integrate ML models with existing backend services and infrastructure.
  • Monitor and maintain deployed models to ensure consistent performance, addressing issues such as concept drift.
  • Support team member development through mentorship and participation in onboarding programs.
  • Drive continuous improvement by automating repetitive tasks and proposing innovative solutions.
PythonMachine LearningNumpy+6 more

3700 - 4800 USD per month gross any currencySource=original

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RemoteFull-TimeFintechPosted
Director of Data Science
Company:Brigit(51-100 employees, Internet, Personal Finance, Finance)
  • Manage and grow a team of data scientists focused on modeling key business problems.
  • Mentor and guide team members as they build out quantitative models in Python using industry-standard techniques.
  • Evangelize the data science team’s capabilities and integrate with product, engineering, and operations teams to build a roadmap.
  • Run quarterly planning with business stakeholders to ensure alignment on team objectives.
  • Lead the team’s adoption of AI-assisted development and agentic workflows by identifying use cases, setting norms, and ensuring quality standards.
  • Collaborate with the Modeling Engineer to optimize infrastructure for research, development, and deployment.
PythonSQLMachine Learning+5 more

$225,000 - $250,000, and a 15% annual bonus opportunity.

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Can be held from one of our US hubs or remotely in the United StatesFull-TimeData SciencePosted
Technical Program Manager, Data Science
  • Own end-to-end program delivery for Figma's Self-Serve Analytics initiative including semantic layer expansion, Slack bot launch, and automated eval framework.
  • Coordinate delivery across Data Engineering, DS ICs, Security, IT, and business stakeholders to expand self-serve data coverage and drive adoption.
  • Lead the governance and security work stream for LLM data access policies, PII guardrails, and access controls.
  • Drive adoption and change management through champion networks and training programs to shift culture toward self-serve data usage.
  • Build and maintain data science organization operations including planning cycles, headcount tracking, and onboarding programs.
  • Own program-level success metrics such as percentage of data questions answered via self-serve and time-to-insight.
  • Collaborate with peer TPMs and Data Scientists to coordinate on shared data infrastructure needs.
Change Management

185k - 317k USD per year

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United StatesFull-TimeFintech, Identity VerificationPosted
Data Science Manager - Application Fraud
Company:SentiLink
  • Directly manage and grow a team of data scientists from 2-3 up to 5-6 members.
  • Act as a technical mentor providing deep-dive guidance and direction.
  • Lead planning, resourcing, and communication with senior leadership, product, and engineering teams.
  • Develop and maintain fraud detection models across the full development lifecycle, from data acquisition to monitoring.
  • Research emerging fraud types and develop new identity verification products.
  • Write production-ready code for real-time decision making.
  • Design and present analyses to inform product development, risk operations, marketing, and sales.
AWSPostgreSQLPython+2 more

$210,000-$260,000/year + equity + benefits

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USAFull-TimeTechnology, MarketingPosted
Senior Data Science Manager, Marketing
  • Lead, build, and mentor a high-performing team of data scientists within the Marketing & Business Development domain.
  • Serve as a strategic thought-partner to cross-functional leaders in Product, Engineering, Design, and Marketing.
  • Develop and deploy causal decision frameworks, predictive LTV models, and incremental lift analysis for marketing spend.
  • Establish consistent measurement standards and experimental designs for evaluating brand initiatives and campaign ROI.
  • Ensure data quality by overseeing ETL processes, reporting dashboards, and aggregations for business tracking and ML model development.
  • Drive the adoption of data-driven recommendations and lead initiatives to enable analytics self-serve capabilities for cross-functional teams.
PythonSQLETL+5 more

$232,500 — $325,500 USD

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São Paulo, State of São Paulo, BrazilFull-TimeFinancial ServicesPosted
Sr. Data Science
Company:Marathon Talent
  • Lead forecasting initiatives by designing and implementing advanced time series models to predict sales and behavioural trends for thousands of customers.
  • Develop scalable machine learning solutions that power real-time decision-making across risk management, fraud detection, and product personalization.
  • Collaborate cross-functional with product managers, engineers, and business stakeholders to translate complex data challenges into actionable insights and measurable business outcomes.
  • Drive innovation in fintech applications by experimenting with cutting-edge approaches such as deep learning architectures and transformer-based models.
  • Ensure compliance and transparency in model development, aligning with industry regulations and ethical standards for financial data usage.
  • Shape the data science strategy by identifying opportunities where predictive modeling can unlock new value streams and competitive advantages.
PythonMachine LearningPyTorch+3 more
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RemoteContractAI TrainingPosted
Data Science & Analysis - AI Training
Company:Prolific Academic Ltd
  • Evaluate LLM-generated data insights and statistical analysis for accuracy, clarity, and completeness.
  • Fact-check technical claims by validating mathematical proofs, statistical formulas, and data-driven conclusions.
  • Validate code and outputs by executing scripts to ensure correct results and edge-case handling.
  • Annotate model performance to identify strengths and weaknesses in reasoning through data problems.
  • Ensure alignment by verifying model responses follow guidelines and maintain professional technical behavior.
PythonSQLNumpy+7 more

Up to $80 per hour

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RemoteContractArtificial IntelligencePosted
Data Science & Analysis - AI Training
Company:Prolific Academic Ltd
  • Evaluate LLM-generated data insights and statistical analysis for accuracy, clarity, and completeness.
  • Fact-check technical claims by validating mathematical proofs, statistical formulas, and data-driven conclusions using authoritative references.
  • Execute and validate data-related scripts in Python or R to ensure correct results and proper edge-case handling.
  • Annotate model performance by identifying strengths and weaknesses in logical reasoning and predictive model building.
  • Verify that model responses adhere to system guidelines and maintain professional technical standards.
PythonSQLData Analysis+5 more

Up to $80 per hour

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Shown 1-10 of 58
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Is remote data science hiring real right now?

Yes, but it is not a huge open market. Based on Remoote job data from June 16, 2026, the current Data Science search block surfaces 51 active searchable remote jobs across 36 companies. Visible examples include Data Science & Engineering Lead, Senior Manager Data Science & Analytics, Associate Director Media Data Science, Software Engineer - Data Science, and Data Science Intern.

That mix matters because “data science” can mean hands-on modeling, analytics leadership, data engineering, experimentation, media measurement, or software work around ML systems. Read the responsibilities before assuming a listing matches your target role.

How should you screen noisy ML and analytics listings?

Start with the work, not the title. A strong data science listing should say what data you will use, which business decision the models or analysis support, what tools or languages are expected, and whether the role is individual-contributor, management, or hybrid engineering work.

  • For ML-heavy roles, look for modeling, evaluation, deployment, experiment design, or production ML ownership.
  • For analytics-heavy roles, look for metrics, dashboards, stakeholder decision support, SQL, experimentation, or product analytics.
  • For leadership roles, check whether the job is people management, technical strategy, or both.
  • For internships or early-career roles, confirm whether mentorship, scope, and required experience are realistic.

If a posting uses data science keywords but never explains the dataset, business problem, tools, or decision-making context, treat it as a noisy listing and compare it carefully with the roles below.

What can you know about salary before applying?

Salary visibility is relatively strong for this page: 36 of the 51 current Data Science-filtered roles show salary information, based on Remoote listings checked June 16, 2026. This page does not claim a salary range because compensation varies by seniority, location rules, and role type.

If pay is your first filter, compare these listings with remote job salaries before applying. If a role does not show pay, check whether the employer explains compensation later in the process and whether the location or time-zone requirements could affect the offer.

Where should you branch next?

If the current data science set is too narrow, browse the broader remote IT jobs category or compare nearby paths such as remote data analyst jobs. If you are early in your career, start with entry-level remote jobs or remote jobs without experience before spending time on senior data science listings.

Company choice also matters in a small market. Use top remote companies to identify employers with broader remote hiring activity, then return here to check whether their data roles match your skills.

Source: Remoote job listings using the current Data Science title filter, checked June 16, 2026. Counts are a point-in-time snapshot and may change as employers post, update, or close roles.

Remote data science jobs FAQ

Yes. Remoote found 51 active searchable remote jobs from 36 companies using the current Data Science title filter, checked June 16, 2026. Availability changes quickly, so confirm the current results before applying.

Data science titles are used inconsistently by employers. Some roles focus on modeling, some on analytics leadership, and some on software or data engineering around data products. Read the responsibilities, tools, and success metrics before deciding whether a listing fits your target path.

36 of the 51 current Data Science-filtered roles show salary information, based on Remoote job data from June 16, 2026. That is useful for screening, but it does not support one universal salary range because role level, location rules, and responsibilities vary.

Check whether the listing explains the data, business problem, tools, seniority, remote location rules, and interview expectations. Be cautious with vague ML or analytics titles that do not describe the actual work.

Try adjacent searches such as remote data analyst roles, broader remote IT jobs, or entry-level remote jobs if your experience level is lower. Data science supply is real but selective, so branching can help you find roles that match your skills faster.

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