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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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66 jobs found

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Shown 1-10 of 66
United StatesInternshipArtificial IntelligencePosted
Generative AI and Data Science Intern
Company:FlexiSAF
  • Engage in a self-study approach following a curated curriculum and provided resources.
  • Complete tasks and projects aligned with the program's structure.
  • Participate in supervised progress tracking and accountability sessions.
  • Collaborate with peers and mentors on real-life AI solutions.
  • Develop professional work-ready soft skills.
PythonDjangoFlask+7 more
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United StatesFull-TimeData SciencePosted
Associate Engineer, Data Science
Company:Jobgether
  • Assist in collecting, cleaning, processing, and analyzing structured and unstructured datasets.
  • Develop and maintain data models, algorithms, and analytical solutions under guidance.
  • Apply statistical methods and machine learning techniques to identify patterns and generate insights.
  • Support experimentation, model evaluation, and performance optimization activities.
  • Collaborate with software engineers, data specialists, and cross-functional teams.
  • Participate in the design, testing, and improvement of data-driven products.
  • Research emerging data science tools and best practices.
  • Document processes, methodologies, and results.
PythonSQLData Analysis+3 more
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USAFull-TimeData SciencePosted
Director I, Data Science, People, Purpose & Brand
Company:Liberty Mutual
  • Architect, develop, and maintain tooling and pipelines to support GenAI model development, evaluation, deployment, and monitoring.
  • Design and operationalize scalable evaluation frameworks and metrics for GenAI systems to ensure quality, safety, and organizational alignment.
  • Lead the vendor AI evaluation program: define criteria, run benchmarks and pilots, synthesize results, and provide recommendations.
  • Build reusable components leveraging APIs and templates that enable rapid iteration and reliable deployment of GenAI features.
  • Partner with stakeholders to translate business needs into technical designs, evaluation plans, and implementation roadmaps.
  • Promote strong engineering hygiene including CI/CD, version control, testing, and documentation.
  • Provide mentorship for data science and analytics colleagues on tools and evaluation processes.
PythonSQLCloud Computing+5 more
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Remote, United StatesFull-TimeFintechPosted
Director of Data Science, Credit Risk
Company:Mission Lane(501-1000 employees, Credit, Financial Services, Finance)
  • Lead the design, development, and deployment of machine learning models to solve practical problems.
  • Partner with business leaders and technical experts across the company to develop new data sources.
  • Improve modeling methodology and apply models with sound risk management.
  • Provide clear goals and purpose to the data science team.
  • Mentor team members by helping them identify strengths, weaknesses, and professional growth opportunities.
  • Communicate a vision on how data science applies to complex business problems.
  • Manage production experiments and models.
PythonMachine LearningNumpy+4 more

$185,000 - $219,000

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Remote - USAContractEducation TechnologyPosted
Data Science Coach
Company:Leland(11-50 employees, Education, Marketplace, Consulting)
  • Teach core data science strategy, machine learning, and predictive modeling skills.
  • Guide clients on data cleaning, preprocessing, visualization, statistical analysis, and pipeline automation.
  • Help clients apply AI fundamentals, model evaluation, and AI automation to data projects.
  • Provide career coaching including resume, LinkedIn, and cover letter reviews.
  • Conduct behavioral and technical interview preparation for data science roles.
  • Advise on networking, salary negotiation, promotion strategy, and freelancing opportunities.
Artificial IntelligenceMachine LearningData science+1 more
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RemoteInternshipTechnologyPosted
Data Science & Machine Learning Intern
Company:NextGen
  • Program using Python for various data science tasks.
  • Acquire geospatial data and utilize open-source software to parse information.
  • Research state-of-the-art machine learning algorithms.
  • Review research and development (R&D) requirements and opportunities.
  • Assist in collecting, cleaning, and analyzing data sets.
  • Develop and implement machine learning models under the guidance of data scientists.
  • Experiment with different algorithms and techniques to solve specific problems.
  • Visualize data and present findings to the team.
  • Collaborate with data engineers to ensure data pipelines are robust and efficient.
PythonData AnalysisMachine Learning+2 more
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AtlantaGA preferredRemote... open to qualified applicants from anywhere in the U.S.Full-TimeDaily Fantasy SportsPosted
Senior Data Science Manager - Marketing Science
Company:PrizePicks(101-250 employees, Gaming, Fantasy Sports, Sports)
  • Lead a team of data scientists, covering topics across retention and acquisition marketing
  • Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution
  • Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes
  • Integrate LLMs into data & operations workflows, to increase throughput & scale across domains
  • Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team
  • Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made
  • Collaborate with senior leadership, to align marketing data science effort with overall company & marketing goals
PythonSQLMachine Learning+2 more

$180,000 to $210,000

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While we prefer candidates based in AtlantaWe are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates.Full-TimeDaily Fantasy SportsPosted
Senior Data Science Manager - Marketing Science
Company:PrizePicks
  • Lead a team of data scientists, covering topics across retention and acquisition marketing
  • Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution
  • Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes
  • Integrate LLMs into data & operations workflows, to increase throughput & scale across domains
  • Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team
  • Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made
  • Collaborate with senior leadership, to align marketing data science effort with overall company & marketing goals
PythonSQLMachine Learning+2 more

$180,000 to $210,000

Apply
Based in the United StatesFull-TimeAdTechPosted
Director, Product Management, Data Science (AdTech/Programmatic)
Company:Jobgether
  • Define and execute the product strategy for AI, machine learning, optimization, and data science platforms supporting programmatic advertising solutions.
  • Lead multiple product management teams responsible for optimization engines, audience targeting, identity infrastructure, data partnerships, campaign forecasting, and AI-driven capabilities.
  • Drive the evolution of real-time bidding, optimization models, scoring frameworks, A/B testing methodologies, and performance analytics platforms.
  • Evaluate emerging AI technologies and data science innovations, transforming research into scalable commercial products.
  • Oversee third-party data partnerships, vendor evaluations, integration strategies, and commercial relationships to strengthen product capabilities.
  • Direct modernization of identity resolution infrastructure, audience targeting technologies, taxonomy frameworks, and healthcare data integrations.
  • Collaborate closely with engineering, data science, sales, go-to-market, and executive leadership teams to align technical innovation with business objectives.
  • Represent product strategy with senior executives, customers, and industry stakeholders while translating complex technical concepts into compelling business value.
  • Mentor, develop, and grow a high-performing team of Product Managers across multiple strategic product streams.
Machine LearningProduct ManagementStrategy+1 more

$200,000–$205,000

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Remote PositionFull-TimeAging Care TechnologyPosted
Senior Manager, Data Science
Company:Honor Technology
  • Shape the Data Science and Applied AI roadmap, identifying opportunities for predictive modeling, optimization, and modern AI.
  • Lead the development of production models and decision-support systems for matching, scheduling, and operational prioritization.
  • Apply modern AI and agentic workflows to improve decision-making and operational execution.
  • Partner with Product, Engineering, and Operations teams throughout the full lifecycle of problem definition, deployment, and iteration.
  • Establish standards for evaluating, monitoring, and responsibly deploying machine learning and AI-enabled systems.
  • Lead, coach, and grow a team of data scientists while remaining hands-on as a player-coach.
Machine LearningData science

$228,600 — $254,000 USD

Apply
Shown 1-10 of 66
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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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