565 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 II
Data Scientist II at Seismic focusing on AI-powered product features. Designing, building, and shipping AI solutions with cross-functional collaboration in a fast-paced environment.
Senior Data Scientist
Founding Data Scientist architecting intelligence for transparent pricing at OpenNetworks. Building models for real-time pricing insights and actions in healthcare.
Senior Data Scientist, Marketing
Drive AI/ML solutions as a Senior Data Scientist in a leading pest control company. Lead data initiatives and mentor junior members for growth and optimization.
Associate Data Scientist
Data Scientist at Anaqua, Inc. identifying data sources, automating processes, and building predictive models. Collaborate with engineering and product teams to solve business challenges.
Data Scientist
Data Scientist developing AI-enabled applications in a remote role at Xcelerate Solutions. Focus on data science and advanced analytics to drive operational decision-making.
Data Scientist, Visualization Specialist
Data Scientist & Visualization Specialist designing analytic applications in Palantir Foundry for Xcelerate Solutions. Collaboration with data scientists to create user-friendly visualizations and dashboards.
Principal Data Scientist – Price and Promotions
Principal Data Scientist optimizing pricing, promotions, and assortment decisions at CVS Health. Focusing on impactful analytic products to improve consumer experience and satisfaction.
Lead Data Scientist – Forecasting
Lead Data Scientist advancing forecasting models to power smarter pricing and promotions at CVS Health. Collaborating with teams and mentoring junior scientists to improve business impact.
Data Science Manager, Supply
Data Science Manager enhancing vehicle positioning and demand forecasting for Lime's global micromobility operations. Managing data science initiatives to improve supply and operational efficiency.
Marketing Analytics Lead
Marketing Analytics Lead optimizing campaign performance and measurement at Jiffy.com. Focused on Google Ads, Meta, and overall marketing analytics with executive collaboration.
Product Analytics Lead
Product Analytics Lead responsible for optimizing customer behavior across Jiffy.com’s digital products. Focused on improving analytics foundations and enabling data-driven product decisions.
Senior IT Data Scientist
Senior IT Data Scientist designing scalable AI/ML solutions for health improvements. Collaborating with internal customers to analyze ML algorithms and enable data-driven business decisions.
Senior Clinical Data Manager
Senior Clinical Data Manager overseeing data management processes for Multifocal Motor Neuropathy and CIDP clinical trials. Ensuring high quality and regulatory compliant data throughout the trial lifecycle.
Data Scientist
Data Scientist transforming large-scale logistics data into business insights for Catena Clearing. Collaborating with cross-functional teams to empower product direction and customer success through data.
Data Scientist
Data Scientist role focused on analyzing time series and event-based user interaction data. Collaborate with engineering and product teams for data-driven product improvements.
Growth & Analytics Lead
Growth & Analytics Lead at NeoReach managing paid media and analytics for monetization strategies. Leading account-based marketing efforts and optimizing revenue conversion funnels across platforms.
GTM Systems, Data Manager
GTM Systems & Data Manager at ParentSquare managing CRM systems and data integration across teams. Leading technical architecture to enhance educational communication with AI-driven solutions.
Senior Data Science Engineer
Senior Data Science Engineer specializing in scalable AI solutions at Veeam. Driving strategic decision-making and insightful analytics for the Revenue Intelligence team.
Head of Data Science – Product Experimentation, Machine Learning
Head of Data Science driving product experimentation and machine learning initiatives at Checkmate, building ML-driven experiments for improved ordering and automation.
Senior Data Scientist
Senior Data Scientist managing analytics for commercial lending at Forbright Bank. Responsible for developing data-driven insights to inform portfolio strategy and growth decisions.
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.