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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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70 jobs found

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Shown 1-10 of 70
Remote work is available only to employees residing more than 30 miles from Des MoinesIowa; CharlotteNorth Carolina; and RaleighNorth Carolina.Full-TimeBenefits and protection insurancePosted
Director of Data Science
Company:Jobgether(11-50 employees, Internet)
  • Lead, mentor, and develop data scientists specializing in generative AI, machine learning, predictive modeling, and quantitative analytics.
  • Define the team's technical strategy and evaluate emerging AI models, machine learning technologies, tools, and methodologies.
  • Guide projects from problem definition and model design through validation, deployment, monitoring, and continuous improvement.
  • Oversee custom AI and data science solutions using structured and unstructured data, APIs, custom prompts and models, and application integrations.
  • Partner with Product Management, Engineering, IT, business operations, and senior leaders to identify opportunities and translate technical capabilities into business outcomes.
  • Establish standards and performance measures for model accuracy, production readiness, scalability, adoption, and sustained business impact.
  • Set clear expectations and strengthen team effectiveness, accountability, collaboration, and continuous development.
  • Support the team's growth and integration while maintaining technical quality and consistent delivery.
  • Evaluate emerging technologies and promote solutions that can be deployed, scaled, and adopted across the enterprise.
Machine LearningData scienceGenerative AI

$165,000–$210,000 USD, depending on geographic location, professional experience, education, licensure requirements, and skill level.

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Based in BrazilFull-TimeData science and AIPosted
Data Science
Company:Jobgether(11-50 employees, Internet)
  • Identify target employee populations using HR system filters and relevant employment, work arrangement, department, and assignment data.
  • Extract and analyze workforce data, including working hours, absences, attendance, substitutions, and timekeeping records.
  • Combine system configuration data to create unique identifiers for employee work schedule plans.
  • Project daily work schedules using shift-cycle logic and applicable working patterns.
  • Apply exclusion and eligibility rules to include relevant, valid records in analyses.
  • Compare expected records with system entries and identify additions, updates, maintenance actions, and access restrictions.
  • Coordinate with IT teams on bulk data entries and system updates.
  • Consolidate timekeeping records into clock-in and clock-out pairs and investigate anomalous working patterns.
  • Develop Python and SQL scripts, automation workflows, and analytical solutions; apply statistical modeling and machine learning to identify patterns and generate insights.
  • Explore generative AI, LLM, and RAG applications, and communicate findings and technical requirements to IT teams and business stakeholders.
PythonSQLMachine Learning+4 more
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Location: United States of AmericaContractAI trainingPosted
Data Science Specialist - AI Trainer
Company:Meridial
  • Converse with the model on project scenarios and theoretical data science questions.
  • Verify factual accuracy and logical soundness.
  • Capture reproducible error traces.
  • Suggest improvements to prompt engineering.
  • Suggest improvements to evaluation metrics.
Machine LearningData engineeringData visualization+3 more

6 - 65 USD per hour

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Be physically located within the United States during the entire duration of the internship. This position is not available for candidates living in the following states: AlaskaCaliforniaHawaii+4 more locationsPart-TimeCybersecurityPosted
AI & Data Science Intern
Company:GuidePoint Security
  • Define and implement evaluation frameworks for agentic AI harness accuracy, reliability, and consistency.
  • Design and run structured evaluations to detect regressions, output drift, and behavioral degradation.
  • Build and maintain benchmark datasets and ground-truth corpora.
  • Analyze evaluation results, identify failure modes, and collaborate with the NE AI and AppSec teams on improvements.
  • Research and apply prompt evaluation techniques and LLM benchmarking methodologies for security-specific harnesses.
  • Instrument agentic harnesses to capture latency, token usage, error rates, and output quality signals.
  • Analyze telemetry data to identify patterns, surface anomalies, and inform harness tuning.
  • Support model and prompt tuning based on evaluation and telemetry findings; document changes and measure their impact.
  • Contribute to an internal AI governance pipeline by defining standards, logging outputs, flagging quality issues, and maintaining an audit trail.
  • Document governance processes, evaluation methodologies, and tuning decisions in a repeatable, version-controlled format.
PythonNumpyData science+1 more

20 USD per hour

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Source API remote eligibility restrictions: United StatesFull-TimeHealthcare analyticsPosted
Director, CenterWell Marketing Data Science & Analytics
Company:Humana
  • Develop, maintain, and collect structured and unstructured data sets for analysis and reporting.
  • Create reports, projections, models, and presentations to support business strategy and tactics.
  • Use mathematics, statistics, modeling, business analysis, and technology to transform complex data into advanced analytic solutions.
  • Implement strategic plans, drive goals and objectives, and improve performance.
  • Support decisions related to new or updated programs, large-scale projects, and technical or operational processes.
  • Provide input into the function's strategy.
SQLData MiningMatlab+4 more

$189,400 - $260,500 per year

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Based in IndiaContractData science educationPosted
On-Call Maintenance Specialist, Data Science
Company:Jobgether
  • Analyze course performance data and learner feedback to identify content that needs maintenance or improvement.
  • Prioritize actionable technical and instructional updates based on student feedback.
  • Troubleshoot issues across Python, SQL, R, notebooks, visualizations, exercises, projects, and technical documentation.
  • Update course instructions, examples, screenshots, diagrams, queries, expected outputs, and other materials to reflect current tools and practices.
  • Refresh exercises and projects using modern data workflows, APIs, libraries, and technologies such as pandas, scikit-learn, and PySpark.
  • Improve project rubrics, starter code, datasets, and learning materials for clarity, reliability, and robustness.
  • Validate browser-based Jupyter, SQL, and VS Code learning environments, including packages, programming environments, and tool compatibility.
  • Test and troubleshoot AWS and Azure learning environments, including services, permissions, storage, databases, compute, and streaming infrastructure.
  • Investigate access and configuration issues involving federated cloud accounts, IAM/RBAC permissions, data access, and resource usage.
  • Document changes and provide step-by-step technical guidance.
AWSPythonSQL+7 more
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Based in United StatesFull-TimeHealthcare analyticsPosted
Director, CenterWell Marketing Data Science & Analytics
Company:Jobgether
  • Lead data science and analytics initiatives supporting strategic and tactical business objectives.
  • Transform structured and unstructured data into insights, analytical solutions, and business recommendations.
  • Develop and organize data sets for analysis, reporting, forecasting, and strategic decisions.
  • Create reports, projections, statistical models, analytical tools, and executive presentations.
  • Develop and validate statistical forecasting models and analytical methodologies.
  • Translate analytical findings into actionable recommendations for technical teams, business partners, and executives.
  • Set functional priorities and contribute to long-term analytics direction.
  • Lead implementation of programs, analytical capabilities, and large-scale initiatives.
  • Manage, mentor, and develop data science and analytics professionals.
  • Partner with cross-functional stakeholders to identify opportunities and improve organizational performance.
SQLData MiningQlikView+1 more

Competitive annual base salary of $189,400–$260,500; eligibility for a bonus incentive plan based on company and/or individual performance.

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Location: RemoteContractOnline educationPosted
On-Call Maintenance Specialist, Data Science
Company:Udacity(1001-5000 employees, Education, EdTech, Artificial Intelligence (AI))
  • Analyze course performance metrics, including lesson ratings, pass rates, and qualitative feedback, to identify content requiring updates.
  • Review student feedback at scale and prioritize actionable improvements.
  • Update classroom instructions to reflect current data tools, cloud interfaces, and library behavior.
  • Debug and update Python, SQL, and occasional R code in notebooks, workspaces, and exercises.
  • Fix broken queries, incorrect visualizations, outdated screenshots, and mismatched expected outputs.
  • Refresh tutorials, exercises, projects, rubrics, starter code, and data sets to reflect current tools and workflows.
  • Update Udacity Workspaces using the self-service Studio tool and validate updated Python and R packages.
  • Test Cloud Labs and verify that required cloud services are enabled and configured.
  • Troubleshoot student access and permission issues in AWS and Azure federated accounts, including data access, IAM/RBAC, and resource usage.
AWSDockerPython+10 more
Apply
Workplace type: remote; Country code: PLFull-TimeData Science, AIPosted
Manager AI/GenAI - Data Science & AI
Company:KPMG
  • Analyze client needs in AI and coordinate activities related to preparing proposals.
  • Build and maintain client relationships.
  • Translate business value into concrete AI solutions.
  • Select and recommend suitable tools and technologies for AI projects.
  • Prepare collaboration proposals for clients.
  • Design and develop GenAI-based solutions.
  • Create stable AI solutions ready for production-scale deployment.
  • Implement agentic AI tool concepts in projects.
Artificial IntelligenceData scienceClient relationship management
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For any roles working remotelyThe work must also be performed inside the United StatesNot in a foreign country.Part-TimePublic health epidemiologyPosted
Epidemiology Intern, Data Science & Evaluation
Company:American Heart Association
  • Extract, analyze, and summarize prevalence, mortality, health care utilization, expenditure, and outcome data using national datasets.
  • Assist with the collection, management, analysis, and reporting of cardiovascular disease and stroke-related data.
  • Create and update statistical tables, figures, charts, and supporting documentation for scientific reports and publications.
  • Develop and maintain standard operating procedures, analytic documentation, and process guides for data extraction, analysis, reporting, and quality assurance.
  • Collaborate with epidemiologists, data scientists, and scientific volunteers to respond to data requests and support annual publication activities.
Microsoft ExcelR

23 USD per hour

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Shown 1-10 of 70
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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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