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!
Senior Data Scientist, f/m/x
Senior Data Scientist at AUTO1 Group optimizing vehicle selling and demand management. Collaborating with tech teams, mentoring juniors, and deploying machine learning solutions.
Senior Data Scientist
Senior Data Scientist joining Bluesight to enhance data science efforts for healthcare solutions. Collaborating with teams to develop predictive models and drive innovation in Medication Intelligence products.
AI Engineering Sr Director, Data Science
AI Engineering Sr Director responsible for strategic leadership in AI solutions at Blend360. Leading technical design and implementing complex AI projects for diverse clients.
Senior Data Scientist
Senior Data Scientist at Medium analyzing data to drive business impact. Collaborating with product and business teams to deliver insights and model solutions across data science practice.
Working Student – Data Science
Werkstudent (all genders) - Data Science supporting data analysis and visualization tasks for various industries. Engaging in marketing relevant data modeling and reporting activities.
Data Scientist
Data Scientist contributing to AU metric development in a fast-growing ad-tech company. Collaborating across teams to shape data stories and optimize models.
Senior Data Scientist, AI Products
Senior Data Scientist contributing to Dropbox’s AI-first journey, guiding teams and shaping product roadmap. Partnering with cross-functional leadership to drive AI/ML impact.
Senior Data Scientist, AI Products
Senior Data Scientist driving AI/ML capabilities for Dropbox. Collaborating to shape product roadmaps and enhancing data-driven culture.
Data Scientist – Active Secret Clearance
Data Scientist at GDIT driving innovation and providing transformative solutions to clients’ big-data challenges. Designing analyses, modeling, and making impactful technology transformations.
Senior Applied AI Machine Learning Engineer – Claims Data Science
Senior Applied AI Machine Learning Engineer developing MLOps services for Claims Data Science team at The Hartford. Building AI solutions for smarter decision making in claims processes.
Senior Data Scientist
Senior Data Scientist joining an international consulting firm. Focused on data-driven solutions for enterprise clients across various industries.
Product Data and Analytics Lead
Role leveraging data to transform state interactions with businesses, enhancing Business.NJ.gov effectiveness. Seeking experienced professionals to advance diversity and equity in entrepreneurship.
Data Scientist II – FCRM – Screening Capabilities
Data Scientist II responsible for collecting data and using data science techniques to guide decision-making. Collaborating with cross-functional teams to build analytics solutions that provide insights and add value.
Staff Data Scientist
Staff Data Scientist owning data metrics function at Magic Eden's Dicey casino platform. Building key performance metrics and risk monitoring systems in a fast-paced environment.
Data Scientist
Staff Data Scientist at Assured, creating machine learning systems for automating claims processing. Collaborating with teams to shape data science roadmap and optimize operations.
Data Manager
Data Manager responsible for managing clinical data and improving data processes at Parexel. Collaboration with study teams to deploy digital endpoints in clinical trials.
Director, Product Analytics
Director of Product Analytics at ServiceTitan managing a team to shape product strategy and analytics. Collaborating with C-Suite and influence product decisions through insightful reports.
Data Scientist
Data Scientist analyzing complex datasets and mentoring junior team members at Guidehouse. Collaborating with cross-functional teams to drive data-driven decision making.
Senior Data Science Engineer
Senior Data Scientist Engineer developing analytical models for customer engagement and retention at DraftKings. Collaborating with teams to influence product decisions in sports and entertainment industry.
Data Scientist, AI Native
AI-Native Data Scientist at ConsumerAffairs designing AI-driven solutions for consumer insights and business growth. Collaborating with teams to build predictive models and data products.
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.