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 Manager – Clinical Trials
Clinical Data Manager at PSI managing clinical data for pharmaceutical trials. Overseeing data management processes and ensuring data integrity in clinical research projects.
Data Scientist
Lead Data Engineer at Cushman & Wakefield architecting data platforms and leading advanced analytics solutions. Collaborating across teams to enhance data availability, quality, and insights.
Senior Data Scientist, AI Web Game
Principal Data Scientist leading data strategies for AI Web Game development at Wolf Games. Designing systems by connecting gameplay data for richer player experiences.
Senior Strategy & Analytics Lead – AI-Driven Growth
Senior Strategy & Analytics Lead driving AI-driven growth for Healthy Labs and MyPlanAdvocate. Analyzing strategies, improving funnel performance, and leveraging data-driven decisions.
Data Scientist
Senior Data Engineer with focus on Computer Vision supporting Sales Enablement in Microsoft Azure ecosystem. Designing production-level data engineering solutions and integrating AI capabilities with business value.
Data Scientist
Senior Data Scientist at Quavo leading design and implementation of fraud detection models. Driving AI & ML initiatives and mentoring junior team members in a collaborative environment.
Data Scientist Intern
Data Scientist Intern analyzing AI systems for copyright violations at Elsevier. Collaborating with Legal and Data Science teams to ensure compliance and protect intellectual property during the internship.
Senior Data Scientist – AI Specialist, AWS Multi-Agent Platform
Cientista de Dados Sênior desenvolvendo e aprimorando uma plataforma multiagente em AWS. Integrando IA para avaliação de arquiteturas e recursos em larga escala na nuvem.
Data Scientist, Mid-Level – Gen IA
Data Scientist creating solutions that combine advanced analytics with Generative Artificial Intelligence in a remote team. Transforming data into actionable insights using Python and Azure.
Senior Analyst, Product Analytics
Senior Analyst in Product Analytics analyzing user-business interactions to influence Yelp's strategies. Collaborating with teams to generate insights and recommendations for product improvement.
Data Scientist – ML Engineering
Data Scientist focusing on ML Engineering at Wizeline, developing AI solutions for clients. Collaborating with teams and leading stakeholder discussions on AI strategies for effective implementation.
Senior Data Scientist
Senior Data Scientist responsible for designing and implementing machine learning models to drive business insights. Collaborates with cross-functional teams to leverage data for decision-making and analysis.
Associate Director, Clinical Data Manager
Associate Director leading clinical data management and oversight of CROs for global trials at ICON plc. Fostering innovative environments and ensuring compliance in R&D financial standards.
Trading & Analytics Lead – Media Buyers
Trading & Analytics Lead overseeing campaign strategy and data analysis for media buyers. Join Kayzen's team dedicated to disrupting the mobile ad-tech industry with innovative solutions.
Language Data Scientist
Language Data Scientist working on AI/ML workflows for Innodata. Collaborating on multi-lingual datasets to advance GenAI applications.
Data Scientist – Databricks
Seeking a qualified Data Scientist with deep Databricks expertise. Role includes model development and collaboration for customer engagement solutions.
Data Scientist – Mid-level
Data Scientist developing machine learning solutions for commercial operations at Asaas. Collaborating with sales teams and ensuring data-driven decisions with analytics.
Senior Data Scientist
Senior Data Scientist driving advanced machine learning innovation in security. Leading research and contributing to scientific publications and methodologies.
Associate Data Scientist
Associate Data Scientist analyzing healthcare insights to improve provider care at PointClickCare. Utilizing data to provide recommendations and reporting for product development.
Data Scientist
Data Scientist at CareerVillage.org designing predictive models to improve learner outcomes and product performance. Collaborating cross-functionally to drive data science solutions.
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.