Data Scientist

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Head of Data Science leading ML-driven underwriting strategy at FINN, enhancing financial inclusion in Southeast Asia. Develop risk models and manage data science teams for optimal growth.

Data Scientist working on Zé Delivery's Digital Insights team to develop analytical models. Collaborating on business decisions and product recommendations across various squads.

Data Strategy Tech Lead managing internal technical initiatives for data-intensive systems at SentiLink. Collaborating with cross-functional teams to build and operationalize data for the future.

Data Manager (FME) developing automated data flows and supporting data analysis for a major European Institution. Collaborating with internal teams to ensure data quality and performance monitoring.

Clinical Data Lead at MRO managing quality tasks for clinical data abstraction. Collaborating on internal performance trends and mentoring new hires for data integrity.

Senior Manager responsible for PR strategy and executing communications for Zscaler’s Aston Martin partnership. Focus on data storytelling and public sector engagement.

Trainee in Data Science to develop skills in data analysis and Machine Learning. Opportunity to learn from experienced professionals building data-driven solutions.

Join redbee as a Data Scientist to support a digital transformation project for a leading bank. Collaborate in modernizing digital channels and adopting new cloud architectures.

Managing and growing client relationships for Alkami's Data & Marketing solutions. Collaborating to ensure customer satisfaction in a remote-first work environment.

Data Governance Lead managing healthcare organizations' data governance initiatives. Leading strategy, execution, and fostering client relationships to improve data effectiveness and operational efficiency.

Manager of Data Systems handling enterprise data strategy and architecture at Intradiem. Leading data governance and business intelligence solutions to enhance data accessibility and quality.

Project Manager overseeing Data Capture Operations at Niricson, utilizing advanced technology for infrastructure inspection. Coordinating projects, ensuring smooth deployments, and fostering team collaboration.

Remote Senior Data Manager overseeing data management functions and client support. Ensuring compliance and delivering high-quality client service across various projects at Labcorp.

Data Scientist/Application Developer utilizing AI and data analytics capabilities for US federal government. Conducting data discovery, analysis, and building applications in an Agile/Scrum environment.

Project Manager, Laboratory at ICON designing and analyzing clinical trials for innovative treatments. Coordinating project management delivery and developing team capability across multiple studies in a global healthcare organization.

Senior Manager leading coding, CDI, and data quality at City of Hope. Overseeing initiatives for coding accuracy, documentation integrity, and operational excellence.

Data Scientist focused on developing predictive models and generative AI solutions for strategic business projects. Collaborating with cross-functional teams on data-driven solutions.

Data Strategy Operations Manager overseeing day-to-day strategic initiatives integration across various teams. Leading efforts in communication and project management for operational excellence.

Data Scientist developing Machine-Learning models to support credit decisions at Europace. Collaborating cross-functionally and driving data-driven product development in a fully remote setting.

Data Scientist at Accelerant develops machine learning and AI systems improving decisions in insurance. Collaborative role tackling various machine learning and AI challenges in pricing, underwriting, and operations.

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

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.

Python 17.4%

17.4%

SQL 12.9%

12.9%

Cloud 7.1%

7.1%

AWS 6.2%

6.2%

Scikit-Learn 4.7%

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.

United States 68.4% of listings

65 listings

Brazil 9.5% of listings

9 listings

Canada 8.4% of listings

8 listings

7 listings

Colombia 6.3% of listings

6 listings

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

High School 0.4%

0.4% of postings

Professional Certificate 0.4%

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 1 What 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 2 What 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 3 What 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 4 What 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 5 What 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 6 What 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 7 How 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 8 Why 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.

Data refreshed November 2025. Figures are aggregated across verified listings.