432 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 & AI Technical Lead
Data & AI Technical Lead designing and building data and AI systems for government and national security organizations. Leading architecture and technical design initiatives across data and AI domains.
Project Manager – Data Center Program Delivery
Project Manager for data center program delivery in the QC Ecosystem. Leading large-scale infrastructure and data center programs while ensuring stakeholder alignment and project execution.
Junior Data Scientist
Data Scientist responsible for data analysis, model development, and collaboration in Brazil. Exploring data, translating complex metrics into reports for various stakeholders.
Data Implementation, Data Delivery Manager
Data Implementation & Data Delivery Manager overseeing client data experiences for educational institutions. Ensuring smooth onboarding and clear communication between clients and engineering teams.
Clinical Data Science Lead
Clinical Data Science Lead at ICON driving data science initiatives within clinical trials. Managing analytical needs and mentoring team members to deliver quality outcomes and insights.
Associate Director, MedTech Epidemiology, Real-World Data Sciences
Associate Director in MedTech leading innovative epidemiology research for cardiovascular products at Johnson & Johnson. Utilizing big data analytics to inform medical decision-making and improve patient care.
Assistant Manager – Data Research
Assistant Manager leading a team in Banking/Investing domain at Forbes Advisor. Ensuring high-quality project delivery and driving operational excellence while contributing to process improvements.
Data Scientist, Associate Manager
Data Science leader shaping data-driven decisions at Allstate. Leading machine learning applications and mentoring junior scientists.
Data Scientist 2
Data Scientist 2 developing machine learning models and analyzing large datasets for Comcast Advertising. Collaborating with teams to deliver data-driven insights and scalable analytical solutions.
Senior Data Scientist
Senior Data Scientist focusing on AI/ML solutions for Comcast Advertising. Leading initiatives, mentoring teams, and delivering innovative technology solutions.
Staff Technical Program Manager, Data Marketplace
Technical Program Manager managing end-to-end program initiatives in Data Marketplace at LiveRamp. Collaborating across teams to ensure alignment and successful project execution.
Data Scientist – Responsible AI
Data Scientist supporting Empower’s Responsible AI strategy through data evaluation and statistical analysis. Collaborating with engineers and stakeholders to ensure responsible application of AI technologies.
Lead Data Product Manager
Lead Data Product Manager role at Workiva, focusing on data product development and stakeholder collaboration. Responsible for roadmap definition, product lifecycle, and cross-functional partnerships.
Data Governance Lead
Data Governance Lead responsible for developing data governance programs in the insurance domain. Requires extensive experience with Azure technologies and strong communication skills.
Head of Data
Head of Data managing the data stack and analytics at Seen Health. Responsible for data-driven decision making in healthcare.
Data Scientist
Data Scientist designing and implementing AI and advanced analytics solutions for cancer care. Collaborating across teams to develop models and validate AI systems.
Senior Manager – Regulatory Data & Systems
Senior Manager providing guidance on regulatory reporting accuracy and efficiency at BMO. Leading data analysis for effective risk management and compliance with regulations.
Clinical Data Manager
Clinical Data Manager overseeing the execution of clinical trials for biopharmaceutical advancements. Responsible for data management deliverables, ensuring quality and compliance throughout the process.
Cientista de Dados Pleno – Foco em IA Generativa, GenAI
Data Scientist developing models of Generative AI for automated marketing content at Leega. Collaborating in a large-scale innovative project with a focus on machine learning.
Clinical Data Manager – II
Clinical Data Manager overseeing clinical data science workstreams for ICON. Responsible for data management strategies, collaboration with teams, and compliance with regulatory requirements.
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.