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
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 β 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 β Databricks
Seeking a qualified Data Scientist with deep Databricks expertise. Role includes model development and collaboration for customer engagement solutions.

Data Scientist β 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.

Staff Data Scientist, Graph ML
Developing and deploying graph ML solutions to synthesize insights for drug discovery at Valo Health. Collaborating with data scientists and biologists to contextualize predicted drug targets.

Data Scientist, Mid-Level
Data Scientist responsible for designing and deploying machine learning models for corporate clients. Working remotely while collaborating with stakeholders and processing large data sets.

Data Manager
Data Manager at Workstreet ensuring health, accuracy, and usability of data across systems. You'll manage HubSpot and optimize reporting to support business decisions.

Data Science Manager
Data Science Manager at Cozey focusing on demand forecasting and decision-making tools. Leading a team to implement data-driven strategies in a collaborative environment.

Manager, Data Science
Manager, Data Science responsible for building a robust Data Science function at Cozey. Leading projects on demand forecasting and optimization with a focus on measurable business outcomes.

Senior Data Scientist
Senior Data Scientist advancing AI-driven products at Pearl. Collaborating across teams to transform complex data into actionable insights and scalable solutions.

Mobilization Data Manager
Data Manager designing and building the data infrastructure for Indivisibleβs mobilization efforts. Collaborating with the Mobilization Department, ensuring data aligns with operational workflows.

Senior Data Scientist
Senior Data Scientist at Button shaping product intelligence with machine learning. Collaborating across teams to drive outcomes and impacting product and strategy.

Data Manager
Data Manager overseeing data integrity and infrastructure for civic education organization Generation Citizen. Supporting data analysis, technical support, and strategic insights for equity-centered impact.

Senior Data Scientist β Credit Modeling
Senior Data Scientist focused on credit risk analysis and predictive modeling at M-KOPA. Building models to improve credit access for customers in Africa.

Senior Data Scientist, Azure / AWS
Senior Data Scientist specializing in Azure and AWS for AI-driven solutions in a global firm. Focused on developing ML models and managing data pipelines successfully.
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 (2β10 employees) to established firms (51β200 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
πΊπΈ United States accounts for the largest share of distributed data scientists openings, capturing 68.4% of the listings we track. π§π· 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
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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.