358 Remote Data Scientist Jobs
Explore top remote data scientist jobs and find flexible roles such as data analyst, product analyst on Kickstart Remote. Work from anywhere and advance your career today!
Data Scientist, Learning Supports
Data Scientist providing foundational and advanced analytic support for Learning Supports program. Leading quantitative workflows and translating results into actionable insights for clients.
Senior Remote Sensing Data Scientist – GeoAI, Earth Observation
Remote Sensing Data Scientist focused on GeoAI services and digital agriculture projects. Developing ML/CV algorithms for processing remote sensing data in an international setting.
Portfolio Risk Analytics Lead
Portfolio Risk Analytics Lead managing and analyzing credit risk for Flex's services. Own end-to-end portfolio risk analytics while collaborating across teams to ensure effective credit policies.
Senior Data Scientist
Senior Data Scientist developing advanced semantic data management techniques for CACI. Collaborating with Air Force Research Laboratory to maintain technological advantages through innovative solutions.
HEDIS Performance Analytics Lead
Senior Analyst powering HEDIS improvement initiatives through advanced data analytics and insight generation. Leading development of predictive models and translating findings into actionable recommendations.
Post-doctoral Fellow – Applied AI, Data Science
Postdoctoral Fellow at Beckman Research Institute focusing on AI and Data Science research. Leading projects on multi-modal language models and collaborating with clinical stakeholders.
Data Science Intern
Data Science Intern enabling users to analyze data with AI solutions integrating natural language queries. Collaborating with IT and stakeholders for effective data access and analysis.
Senior Data Scientist, Growth
Senior Data Scientist at Root Insurance developing data-driven marketing strategies and A/B testing to improve the company's marketing performance across various channels.
VP, Data Science
VP of Data Science leading data science and R&D teams for insurance efficiency at Coterie. Championing a culture of collaboration and continuous improvement, translating business needs into actionable data science priorities.
Senior Strategy and Analytics Lead
Senior Strategy and Analytics Lead focused on growth and analytics in insurance distribution. Collaborating across teams to improve conversion and retention metrics.
Senior Data Science Advisor – Pricing & Underwriting
Data Science Senior Advisor building models using statistics and ML for pricing and underwriting at Cigna Group. Collaborating with leadership and business stakeholders to enhance competitive positioning.
Cientista de Dados Sênior
Senior Data Scientist at WPP Media, responsible for turning data into insights. Collaborating closely with media and product teams to drive analytical solutions and business value.
Technical Platform Lead
Technical Platform and Data Lead responsible for building Microsoft BI solutions. Joining General Dynamics Information Technology to support HRSA Organ Procurement Transplant Network on patient safety program.
Medicaid Data Manager
Data Manager at GDIT overseeing Medicaid related systems and ensuring data governance. Collaborating with stakeholders and managing data services projects for health agencies.
Data Scientist
Data Scientist leading AI/ML initiatives and strategy at Capgemini Engineering. Develop and productionize models for pricing and demand forecasting in an innovative environment.
Advanced Analytics Lead, Competitive Insights
Lead for Advanced Analytics supporting Competitive Insights team, driving product and strategic decisions with data-driven insights. Collaborate across teams to provide actionable analysis for business growth.
Senior Data Scientist – Energy Services
Senior Data Scientist developing analytical capabilities for Electrify America's network. Collaborating with the Director of Energy Services to track and report KPIs.
Staff Data Scientist
Data Scientist developing machine learning solutions for Volkswagen Financial Services. Collaborating with teams to analyze data and influence business decisions.
Forward Deployed Engineering Lead – Data Science, Integration
Forward Deployed Engineering Lead managing Data Science & Integration for public sector missions. Delivering innovative solutions at customer sites for defense and intelligence agencies.
Principal, Analytics and Data Science – Pricing Forecasting
Principal position leading data science and analytics within CVS Health's underwriting transformation program for pricing forecasting and financial decision-making. Collaborating across teams to drive actionable insights based on advanced analytics.
Remote data scientist salary expectations & hiring insights
Looking to build your career in data scientist?
According to our job data analysis, the average remote data scientist salary is $149,109 per year, based on insights from over 565 job listings.
These roles span across startups (2–10 employees) to established firms (51–200 employees).
The demand for remote data scientists continues to grow rapidly, with top companies like Canva and Experian offering roles such as Data Analyst and Product Analyst.
Salary breakdown by experience
| Experience level | Average salary |
|---|---|
| Entry-level | $15,934 |
| Junior | $111,030 |
| Mid-level | $128,783 |
| Senior | $149,931 |
| Lead | $189,746 |
Skills hiring teams expect
Hiring managers consistently highlight Python (17.4%) as the must-have skill for remote data scientist roles. SQL (12.9%) follows closely, showing how teams blend analytical depth with modern tooling. We parsed live job descriptions to surface the most requested capabilities.
17.4%
12.9%
7.1%
6.2%
4.7%
Companies leading remote hiring
Organizations such as Canva (11), Experian (10), Tiger Analytics (7), Precision Medicine Group (7), and Truelogic Software (7) have published the most openings lately, offering a snapshot of the employers investing in distributed data scientist talent.
Top regions hiring remotely
🇺🇸 United States accounts for the largest share of distributed data scientists openings, capturing 68.4% of the listings we track. 🇧🇷 Brazil adds another 9.5%, proving that teams are scaling far beyond a single time zone. Use this regional data to target your outreach and tailor availability windows.
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9 listings
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Education trends
Postgraduate Degree remains the most frequently cited credential, appearing in 22.8% of verified postings. Bachelor Degree requirements show up in 76.3% of roles, so highlight comparable experience if your path differs. Mentioning equivalent coursework or certifications helps recruiters validate your background quickly.
22.8% of postings
76.3% of postings
0.4% of postings
0.4% of postings
Ask our talent partners
FAQs about Data Scientist
Quick answers we share most often with job seekers exploring data scientist paths.
Question 1What skills do you need to get a remote Data Scientist job?
You need strong programming skills in Python and SQL for data manipulation and analysis. Experience with cloud platforms like AWS and machine learning libraries such as Scikit-Learn is also highly valued.
Question 2What qualifications do you need to get a remote Data Scientist job?
Most positions require a bachelor's degree in a quantitative field like computer science or statistics. A master's degree or proven project experience with Python and machine learning can strengthen your application.
Question 3What are the responsibilities of someone who does a remote Data Scientist job?
A remote Data Scientist cleans large datasets, builds predictive models using tools like Scikit-Learn, and communicates findings to stakeholders. They use Python and SQL to extract insights that guide business decisions.
Question 4What are the benefits of a remote Data Scientist job?
This role offers great flexibility in your work location and schedule. You also gain exposure to diverse, global business problems without a daily commute.
Question 5What does a typical day look like for a remote Data Scientist?
A typical day involves writing code in Python, querying databases with SQL, and collaborating with your team via video calls. You might also test a machine learning model or present your latest findings.
Question 6What tools do remote Data Scientist teams commonly use?
Teams frequently use Python, SQL, and cloud services like AWS for their core work. Collaboration happens through platforms like Slack, GitHub, and Jupyter notebooks for shared analysis.
Question 7How can you grow your career as a remote Data Scientist professional?
Focus on mastering advanced techniques in machine learning and cloud infrastructure like AWS. Building a strong portfolio of projects and seeking mentorship will also accelerate your growth.
Question 8Why is Data Scientist important in remote-first companies?
Data Scientists help remote companies make informed, data-driven decisions without relying on gut feelings. They turn user and operational data into a strategic asset for the entire business.