404 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 Science and Analytics Analyst
Join TransUnion as a Data Analyst to develop your skills in data analytics. Collaborate in a team-oriented environment to contribute to impactful business initiatives.
Data Scientist
Data Scientist focusing on clinical data acquisition and integration for Aetna's quality measures. Developing models and partnering with stakeholders to produce insights and dashboards.
Lead Data Scientist – Autonomous Goal Management
Lead Data Scientist focusing on autonomous goal management and AI solutions at Humana. Collaborating with cross-disciplinary teams to innovate healthcare through AI technologies.
Senior Data Scientist, Population Health
Senior Data Scientist at Geisinger, leading data science initiatives to enhance healthcare outcomes. Mentoring junior scientists and collaborating with clinical leaders for impactful decision-making.
Senior AI Data Scientist
Senior AI Data Scientist developing Data Science & ML algorithms for real-world business problems across the team.blue group. Requires strong analytical and programming skills with a focus on innovation.
Lead Data Scientist
Lead Data Scientist driving Unobravo's data science and machine learning strategy for improving mental health support outcomes. Collaborate across teams to create actionable insights and scalable ML solutions.
Staff Data Scientist – Experimentation & Measurement
Staff Data Scientist designing and interpreting experiments to influence PlayStation's products and marketing decisions. Collaborating with cross-functional teams to embed experimentation in development cycles.
Data Scientist, Predictive Analyst – Mid Level
Data Scientist Predictive Analyst delivering predictive analytics and insights for Auto and Home actuarial teams. Collaborating on Python tool updates and advanced statistical modeling.
Data Scientist
AI & Data – Data Science Developer at IRIUM. Responsible for creating AI models and performing data analysis within a remote setup in Spain.
Global Data Manager
Global Data Manager overseeing clinical data science workstreams and ensuring quality deliverables. Collaborating across teams to optimize data management strategies and drive clinical trial success.
Head of Data
Head of Data responsible for managing data lifecycle and ensuring data quality for luxury IQ platform. Leading a 6-person team to build AI data products with external customers in mind.
Director, Data Science
Director of Data Science at DuckDuckGo driving product and business impact with a remote team. Mentoring data scientists and guiding impactful projects in data science.
Cientista de Dados Sênior
Senior Data Scientist designing and building mathematical/statistical solutions for business needs. Leading projects autonomously and mentoring junior team members.
Data Science Specialist – Feature Store & ML Platform
Data Science Specialist at Compass UOL leading Feature Store capabilities development and implementing efficient data processing. Requires expertise in ML platforms and AWS services.
Data Science Enablement Specialist – ML Platform, MLOps
Data Science Enablement Specialist managing ML teams' adoption of advanced platform solutions. Collaborating on migration processes and providing technical enablement documentation.
Senior Epic Data Scientist
Senior Data Scientist developing innovative solutions through data analysis for healthcare. Collaborating on projects and supporting clinical information systems.
International Analytics Lead
International Analytics Lead driving data systems implementation for Khan Academy’s mission to provide free education. Collaborating with country teams, enhancing analytics practices across diverse regions.
Cientista de Dados I – Foco em IA Generativa
Data Scientist position emphasizing Generative AI to improve lives at Grupo Autoglass. Collaborating on data analysis and strategic problem-solving for business growth.
Mid-level Product Analyst
Support strategic actions and analyze data for Globo's football subscription product. Collaborate with teams and enhance the user experience through data insights.
Exposure Data Manager
Exposure Data Manager lead analytics and investigations for insurance risk data at Accelerant. Responsible for ensuring data quality and collaborating with cross-functional teams for exposure data management.
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.
65 listings
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.