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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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62 jobs found

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Shown 1-10 of 62
Remote, USAPart-TimeHigher EducationPosted
Part-time Faculty, Ph.D. in Data Science
Company:National University
  • Provide substantive, timely feedback to students on various assessment activities.
  • Maintain a positive, safe, inclusive student-centric learning environment.
  • Complete required tasks on deadlines including final grades, assessment, grading rubrics, and input for grade appeals.
  • Maintain appropriate professional training and/or scholarly activities.
  • Provide feedback to the course lead regarding the course content.
  • Identify at-risk students and collaborate with student services.
Artificial IntelligenceData scienceGenerative AI

26.63 - 28.89 USD per hour

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Remote USAFull-TimeRetail Data SciencePosted
Senior Manager, Data Science - Styling Algorithms
Company:Stitch Fix(5001-10000 employees, E-Commerce, Retail, Fashion)
  • Champion bold AI and ML interventions to improve our styling experiences, enabling our stylists to have a multiplicative impact on their client connection points.
  • Actively shape the product roadmap for direct client-facing styling experiences, expanding the breadth and depth of personalization touchpoints to complement and inform our human stylists.
  • Inspire your team by fostering a culture of ideation, ownership, feedback, and collaboration between team members and with cross-functional partners.
  • Act as an advocate for our Styling and Merchandising teams, empowering partners to understand trends in stylist feedback and inventory surfacing algorithms.
  • Work with product managers, other data science teams, UI/UX designers, and business leaders to define and optimize against business objectives for our suite of styling experiences.
  • Oversee the end-to-end algorithm development lifecycle, from ideation and experimentation to testing and deployment in a production environment.
  • Identify and implement best practices for team collaboration, code quality, use of AI, and data management.
PythonArtificial IntelligenceMachine Learning+2 more

$200,000 — $246,000 USD

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Remote candidates are welcome to apply but should be open to periodic travelPotentially once per monthTo New York City or another company office.Full-TimeCybersecurityPosted
Senior Cybersecurity Data Science & Analytics Lead
Company:TSG Risk Management
  • Partner with cybersecurity and technology stakeholders to identify, frame, and solve complex analytical problems.
  • Translate security challenges into clear data science, analytics, and engineering solutions.
  • Develop analytical products that support meaningful business and security decisions.
  • Move beyond traditional dashboard delivery by creating reusable data products, self-service capabilities, and scalable analytical solutions.
  • Help determine the best delivery model for security analytics, including dashboards, reusable datasets, advanced analytics, and potential AI-enabled solutions.
  • Provide analytical support across application security and infrastructure security domains.
  • Evaluate security data and determine the appropriate analysis, methodology, and delivery approach.
  • Build trusted relationships with security subject matter experts through practical, applied cybersecurity knowledge.
  • Lead projects independently and take ownership of solutions from initial problem definition through delivery.
  • Communicate findings, recommendations, and technical decisions clearly to technical teams and senior leadership.
CybersecurityProduct ManagementData science+3 more

165k - 205k USD per year

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Remote-first working environmentAllowing employees to work remotely within the US and CanadaFull-TimeConsumer TechnologyPosted
Senior Director, Analytics and Data Science, Core Product & Growth
Company:Jobgether
  • Lead and develop decision scientists and data scientists, establishing a high quality bar and coaching team members toward greater technical expertise and leadership.
  • Own the models and forecasts used to understand and predict monthly active user growth, including key drivers behind acquisition, activation, engagement, retention, and churn.
  • Lead exploratory and strategic analytics that identify opportunities to grow the user base and translate behavioral insights into actionable product and business priorities.
  • Establish consistent standards for how analytical work is scoped, conducted, reviewed, communicated, and documented.
  • Partner with Revenue Analytics and Data Engineering leadership to define common metrics, experimentation standards, and shared operating practices.
  • Build an operating model that enables the analytics and data science organization to engage earlier in product and engineering roadmaps.
  • Apply AI-native approaches to analytical work, including coding agents and automated analysis while defining which activities should be automated.
  • Provide senior leadership with clear, evidence-based recommendations and determine which analytical questions deserve investment.
PythonSQLMachine Learning+4 more

US base salary range of $247,000–$366,000 USD

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Remote Position (USA)Full-TimePharmaceutical, HealthcarePosted
VP, Applied AI, Data Science & Commercial Intelligence
Company:Novartis
  • Define and execute the enterprise strategy for applied AI, data science, and commercial intelligence aligned with business priorities.
  • Lead multidisciplinary teams spanning AI, machine learning, data science, analytics, and commercial insights.
  • Develop and deploy AI-powered products and decision-support solutions that improve customer engagement, commercial performance, and operational efficiency.
  • Partner with business leaders to identify, prioritize, and deliver high-value AI and analytics use cases with measurable ROI.
  • Establish best practices for AI governance, model lifecycle management, responsible AI, and data quality.
  • Build scalable AI and data platforms that enable reusable models, standardized capabilities, and rapid innovation.
  • Recruit, mentor, and develop world-class technical and product talent while fostering a culture of collaboration and continuous learning.
Artificial IntelligenceMachine LearningData engineering+3 more

USD 303100 - 562900 / year

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Based in the United StatesFull-TimePharmaceuticalsPosted
Senior Manager, Clinical Data Science
Company:Jobgether
  • Lead data science initiatives that support clinical drug development, with a focus on predictive modeling of disease characteristics and drug response.
  • Process, integrate, and analyze high-dimensional multimodal datasets, including clinical, imaging, genomic, text, and other real-world data sources.
  • Develop sophisticated predictive models using machine learning, deep learning, natural language processing, and related advanced analytical methods.
  • Design, build, deploy, and support scalable data engineering and data science platforms for research and clinical development projects.
  • Develop analysis pipelines for complex datasets such as genomics and imaging using cloud infrastructure and high-performance computing environments.
  • Build and deploy interactive web-based interfaces for statistical models, visual analytics, and predictive applications using tools such as Streamlit, R-Shiny, or comparable technologies.
  • Work closely with data scientists, translational sciences teams, IT, and software engineering partners to deliver secure, scalable, and effective solutions.
  • Translate complex analytical approaches and findings into practical solutions that support project teams and broader drug development objectives.
AWSPythonCloud Computing+5 more

Annual base salary range of $143,500–$188,400

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Remote, USA; Remote, CanadaFull-TimeConsumer TechnologyPosted
Senior Director, Analytics and Data Science, Core Product & Growth
Company:Life360(251-500 employees, Android, Family, Apps)
  • Lead and develop the decision scientists and data scientists on the team, and set the quality bar for both disciplines.
  • Own the MAU driver model and the forecast.
  • Own the exploratory work that drives the strategy to grow MAU.
  • Establish how an analysis gets scoped, run, reviewed, and written up, so its quality does not depend on who picked up the request.
  • Partner with your Revenue counterpart and Data Engineering leadership to define common metrics, align on experimentation standards, and introduce unified operating practices across teams.
  • Build the operating model that gets the team into the roadmap conversation early, with a view on what to build and what to test.
  • Use agents and automated analysis daily, and expect the same of the team.
  • Shape how the team works AI-native: what gets delegated to agents, what gets automated, and what stays human judgment.
PythonSQLMachine Learning+4 more

For candidates based in the US, the salary range for this position is $247,000 to $366,000 USD. For candidates based out of Canada, the salary range for this position is $286,000 to $339,000 CAD.

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Based in IndiaFull-TimeData SciencePosted
Director of Operations, Data Science
Company:Jobgether
  • Act as a liaison between business stakeholders and the Data Science team to identify data-driven opportunities.
  • Facilitate collaboration across Growth, Strategy, Finance, technology, and product teams to align priorities.
  • Manage Agile delivery processes including epics, backlogs, sprint planning, and reviews.
  • Partner with project leads to move initiatives from business requirements through delivery.
  • Participate in client workshops, requirements gathering, and business development meetings.
  • Translate technical analytical outputs into clear business recommendations for executives and clients.
  • Coordinate with technical stakeholders to align delivery plans and project dependencies.
  • Guide the development of business intelligence tools and dashboards to support decision-making.
  • Establish effective processes for prioritization, communication, and delivery tracking.
AgileBusiness IntelligenceMicrosoft Power BI+3 more

$119,000–$160,000

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Remote - United StatesFull-TimeMarketing TechnologyPosted
Director, Data Science & Analytics
Company:Zeta Global(1001-5000 employees, Information Services, Advertising, Analytics)
  • Translate complex analytics and media performance into clear, persuasive narratives that connect insights to client business priorities.
  • Develop analytics approaches aligned with client objectives for acquisition, retention, lifetime value, media, and optimization strategies.
  • Advocate for best-in-class measurement methodologies, including Test/Holdout-based incrementality measurement.
  • Identify learnings across clients, campaigns, and categories to create repeatable best practices and frameworks.
  • Manage, coach, and develop a team of analysts, focusing on career development and technical mentoring.
  • Lead strategic initiatives as a subject matter expert to define solutions and align stakeholders.
  • Collaborate cross-functionally with Sales, Client Services, and Operations to solve client challenges.
  • Support the application and adoption of predictive and adaptive ML/AI solutions.
PythonSQLArtificial Intelligence+3 more

170k - 190k USD per year

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Remote CanadaFull-TimeTechnology, InternetPosted
Marketing Data Science Manager
Company:Mozilla Corporation
  • Set the strategy and roadmap for Marketing Data Science, prioritizing the highest-impact opportunities with key partners.
  • Establish goals and measurement approaches for attribution, ROI, and campaign performance.
  • Lead and develop core capabilities across performance marketing, brand marketing, user insights, and reporting/infrastructure.
  • Bring a forward-looking perspective on advertising, media innovation, and marketing analytics methods.
  • Partner with Data Science leaders to evaluate and adopt emerging AI tools that improve team workflows.
Google AnalyticsStakeholder management

Canada Tier 1 Locations $165,000—$220,000 CAD; Canada Tier 2 Locations $149,000—$199,000 CAD

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Shown 1-10 of 62
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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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