338 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 – Credit Eligibility
Data Scientist building credit scoring and pricing models at M-KOPA for underserved customers in Africa. Collaborating cross-functionally with teams to improve financial access.
Data Scientist – Credit Eligibility
Data Scientist at M-KOPA building predictive models for credit eligibility and pricing across African markets. Collaborating with various teams to enhance financial inclusion for underserved customers.
Data Scientist – Financial Crimes Modeling
Data Scientist II responsible for AML/CTF models and analytics solutions at TD. Fostering insights for strategic planning and compliance in Financial Crimes Modeling.
Cientista de Dados Sênior
Senior Data Scientist at SysMap developing advanced ML models and AI architectures for innovative solutions across various sectors.
Media and Marketing Data Scientist
Media and Marketing Data Scientist at Go Fish Digital bridging complex datasets and actionable insights. Collaborating with cross-functional teams to enhance the company’s data capabilities through analysis and reporting.
Principal Data Scientist
Principal Data Scientist developing and deploying cutting-edge fraud detection systems at SheerID. Collaborating with teams to build scalable AI/ML models for data-driven marketing.
Senior Data Science Analyst
Senior Data Analyst at Valid driving analytical solutions for business and product decisions. Collaborating across teams to develop data-driven insights and implement machine learning models.
Innovation, Data Science Internship
Data Science Intern at Businessolver working on advanced analytics and model development in an innovative culture. Collaborating with scientists and engineers to enhance data-driven products.
Data Scientist
Data Scientist at KoBold Metals utilizing AI to discover battery metals. Building predictive models and datasets for exploration in collaboration with leading geoscientists.
Lead Data Scientist – Financial Crimes Modeling
Lead Data Scientist responsible for financial crimes modeling and analytics. Utilizing data science techniques to inform decision making and strategic planning across TD's operations.
Data Scientist – FCRM Model Risk Governance Strategy
Data Scientist III providing technical leadership in analytics for TD. Collaborating on complex data analysis and driving business outcomes.
AI Data Scientist
AI Data Scientist role at HandTalk focusing on driving applied research in multimodal AI and LLMs. Collaborate on challenging projects that enable communication between deaf and hearing individuals.
Senior Managing Director, Data Science & AI
Senior Managing Director focusing on data science and AI strategy at Cayuse. Leading business development, client advisory services, and establishing data capabilities.
Data Science, Machine Learning Intern
Data Science Internship providing 1-1 mentorship and real-world project experience for aspiring IT professionals. Engaging in machine learning and data science collaboration with industry experts.
Senior Data Scientist
Senior Data Scientist at Tenchi analyzing cyber security datasets and collaborating with teams to improve security posture. Focused on data-driven models and visualizations for user experience.
Director, Data Science – Commercial Analytics
Director of Data Science and Commercial Analytics at Cristcot, leading data functions for a biotech focused on ulcerative colitis therapy. Collaborating with cross-functional teams to drive data-informed decision-making.
Senior Data Scientist
Senior Data Scientist responsible for developing ML models and conducting advanced statistical analyses for CIEE's data solutions. Collaborating cross-functionally to deliver actionable insights.
Manager, Product Analytics
Manager, Product Analytics at Fuze Health leading metrics strategy and building a high-performing analytics team. Collaborating with Product and Operations teams to drive data insights for business decisions.
Data Scientist
Data Scientist developing analytical solutions for fraud detection at Actionable Outcomes. Collaborating with stakeholders and domain experts in a remote environment to provide actionable insights.
Data Scientist
Data Scientist bridging multifamily revenue management and data science at ApartmentIQ. Working with leadership and engineering to design data-driven products for pricing intelligence.
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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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.