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Data Science Remote Freelance Jobs (NOW HIRING)

DataCamp

Data Science Editor

Belgium, WI · On-site +1

You'll be responsible for working with a network of freelance creators to scale DataCamp's blog and ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

DataCamp

Data Science Editor

Belgium, WI · On-site +1

You'll be responsible for working with a network of freelance creators to scale DataCamp's blog and ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

DataCamp

Data Science Editor

Belgium, WI · On-site +1

You'll be responsible for working with a network of freelance creators to scale DataCamp's blog and ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

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How much do data science remote freelance jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data science remote freelance in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Remote Freelance professional, and why are they important?

To thrive as a Data Science Remote Freelance professional, you need strong analytical skills, proficiency in statistics, programming (Python or R), and a solid understanding of machine learning, typically supported by a relevant degree or portfolio. Familiarity with data visualization tools (like Tableau), cloud platforms (such as AWS or GCP), and version control systems (like Git) is highly valuable. Exceptional communication, self-motivation, and time management are critical soft skills for remote client collaboration and project delivery. These skills ensure you can independently deliver actionable insights and maintain client satisfaction in a flexible, remote setting.

How do remote freelance data scientists typically manage collaboration and communication with clients and teams?

Remote freelance data scientists usually rely heavily on digital collaboration tools such as Slack, Zoom, and project management platforms to stay connected with clients and team members. Clear communication about project goals, timelines, and deliverables is essential, especially since team members may be located in different time zones. Regular check-ins, status updates, and sharing progress through documentation or presentations help ensure everyone stays aligned. Building strong relationships and maintaining transparency are key to successful remote collaboration in this role.

What does a Data Science Remote Freelance job involve?

A Data Science Remote Freelance job involves working independently, often from home or any location, to provide data analysis, modeling, and interpretation services to various clients or companies. Freelance data scientists use programming, statistics, and machine learning to solve business problems, create predictive models, and generate actionable insights from data. They may work on projects like data cleaning, visualization, algorithm development, and reporting, and must manage their own schedules and client relationships.

What is the difference between Data Science Remote Freelance vs Data Analyst Remote Freelance?

AspectData Science Remote FreelanceData Analyst Remote Freelance
Required CredentialsTypically requires a degree in data science, statistics, or related field; proficiency in programming languages like Python or RUsually requires a degree in statistics, mathematics, or related field; strong Excel and SQL skills
Work EnvironmentIndependent, project-based, often self-managedIndependent, project-based, often self-managed
Employer & Industry UsageUsed by tech companies, startups, and consulting firms for complex data modelingUsed across industries for reporting, data visualization, and business insights

Data Science Remote Freelance and Data Analyst Remote Freelance share similarities in work environment and employer usage, but data science roles typically require more advanced technical skills and programming knowledge. Both roles are popular in remote freelance markets, serving different analytical needs.

More about Data Science Remote Freelance jobs
What cities are hiring for Data Science Remote Freelance jobs? Cities with the most Data Science Remote Freelance job openings:
What are the most commonly searched types of Data Science Remote jobs? The most popular types of Data Science Remote jobs are:
What states have the most Data Science Remote Freelance jobs? States with the most job openings for Data Science Remote Freelance jobs include:
What job categories do people searching Data Science Remote Freelance jobs look for? The top searched job categories for Data Science Remote Freelance jobs are:
Data Science Remote Freelance jobs near you
Infographic showing various Data Science Remote Freelance job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Intern, Data Science-Remote

Intern, Data Science-Remote

American Heart Association

Dallas, TX • On-site, Remote

$23/hr

Part-time

Posted 16 days ago

American Heart Association rating

8.7

Company rating: 8.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

28th of 698 rated non-profit organizations

Job description

Overview
Since our founding in 1924, we've cut cardiovascular disease deaths in half, but there is still so much more to do. To overcome today's biggest health challenges and accelerate this progress, we need passionate individuals like you. Join our movement, be part of the progress, and help ensure a healthier future for all. You matter, and so does the impact you can make with us.
The American Heart Association's Internship Program provides college students an opportunity for hands-on experience in various facets for individuals interested in gaining work experience with a non-profit, voluntary health organization.
This internship supports the Data Science team and provides hands-on experience in data science, data engineering, and statistical modeling within clinical and biomedical research settings. Interns will contribute to key initiatives, including the development of agentic workflows and the exploration of advanced analytical and engineering methods. The role offers opportunities to collaborate closely with cross-functional teams and to contribute to impactful, real-world projects that drive research innovation and data-driven decision-making.
The Association offers many resources to help you maintain work-life harmonization through your changing needs and life situations. To help you be successful, you will have access to Heart U, our award-winning corporate university, as well as training and support locally and through our National Center.
#TheAHALife is more than a company culture; it is our way of life. It embodies our commitment to work-life harmonization and is guided by our core values where our employees can thrive both personally and professionally. Discover why you will Be Seen. Be Heard. Be Valued at the American Heart Association by following us on LinkedIn, Instagram, Facebook, X, and at heart.jobs.
Internship Overview:
  • Time Commitment: 20-25 hours per week
  • Internship Duration: 9/8/26-12/11/2626
  • Location: Remote
  • Salary: $23.00 per hour

Internship Outcomes:
Individuals participating in the internship program are provided with an opportunity to:
  • Gain important and practical job skills to be successful in a non-profit environment.
  • Opportunity to explore a career-path with a reputable voluntary health/service organization.
  • Complete an internship that enriches your academic and professional resume as well as enriching your personal life by making a difference in the lives of others.
  • Collaborate with interdisciplinary teams including clinicians, data scientists, statisticians, and engineers.
  • Develop technical, analytical, and scientific communication skills applicable to both academic and industry careers.

Responsibilities
Tasks may include, but are not limited to:
  • Retrieve, integrate, and analyze large-scale healthcare datasets, including electronic health records (EHRs) and clinical registries, to support clinical and population health research.
  • Develop and maintain data processing, governance, and quality assurance pipelines to ensure reliable and compliant data workflows.
  • Design and evaluate AI/ML solutions, including agentic workflows and foundation models, using cloud platforms such as Snowflake and AWS.
  • Collaborate with cross-functional teams to translate analytical findings into actionable insights and support data-driven decision-making.
  • Contribute to code reviews, technical documentation, and the development of abstracts, manuscripts, and other scientific communications.

Qualifications
  • Currently pursuing an MS or PhD degree in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, Public Health, or a related quantitative field.
  • Demonstrated ability to research health topics and translate findings into actionable guidance.
  • Prior research or industry experience in biomedical informatics, clinical research, epidemiology, healthcare analytics, or related domains.
  • Demonstrated proficiency in Python, R, and SQL, with experience developing reproducible data processing pipelines and analytical workflows for large-scale datasets.
  • Demonstrated experience developing, deploying, and evaluating ML and AI solutions, including large language models (LLMs), AI agents, and agentic workflows for data engineering, analytics, and scientific research applications.
  • Proficiency with software engineering best practices, including Git-based version control, code review, testing, documentation, and Agile project management tools.
  • Experience working with cloud computing and/or high-performance computing environments (e.g., AWS, Snowflake, Azure, GCP).
  • Excellent communication, scientific reasoning, and critical thinking skills, with the ability to collaborate effectively in multidisciplinary research teams.
  • Experience with healthcare interoperability standards (FHIR, HL7), EHR systems (Epic), and/or clinical imaging data (CT scan, MRI, ECG) preferred.
  • Experience creating interactive data visualizations and dashboards using tools such as Tableau, Power BI, Shiny, Streamlit preferred.
  • Prior authorship or co-authorship of peer-reviewed publications preferred.

  • Ability to work in a fast-paced, dynamic environment managing multiple priorities involving multiple entities.
  • Intermediate to excellent proficiency in Microsoft Word, Excel, Outlook, PowerPoint.
  • Required Equipment: Reliable WiFi Connection.
  • Minimum availability of 20 hrs/wk, M-F between the hours of 8:30am-5pm.
  • Must be legally authorized to work in the United States for any employer without sponsorship, now or in the future. For any roles working remotely, the work must also be performed inside the United States, not in a foreign country.

Compensation & Benefits
The job application window is expected to close: July 17, 2026.
The American Heart Association invests in its people. Visit Rewards & Benefits to see more details.
  • Compensation and Performance - Attracting talented, committed interns means offering competitive compensation, ongoing professional development and training, and an environment in which to work and grow. And we do.
  • Professional Development - You can join one of our many Employee Resource Groups (ERG) or be a mentor/mentee in our professional mentoring program. Heart U is the Association's national online university, with more than 100,000 resources designed to meet your needs and busy schedule.
  • Healthcare Benefits - You will have the opportunity to participate in our Teladoc General Medical and Behavioral Health programs. We also provide access to our Employee Assistance Program (EAP) at no cost as a confidential program designed to assist employees and family members with personal issues that affect their relationships at home or at work.

Apply Today:
So, are you ready to intern for the largest voluntary health organization dedicated to fighting heart disease, stroke, and other cardiovascular diseases?
The American Heart Association's 2028 Goal: Building on over 100 years of trusted leadership in cardiovascular and brain health, by 2028 the Association will drive breakthroughs and implement proven solutions in science, policy, and care for healthier people and communities. The greatest discoveries in health must reach everyone where they are.
At American Heart Association | American Stroke Association, our mission is to be a relentless force for a world of longer, healthier lives, regardless of race, ethnicity, gender, gender identity, religion, age, language, sexual orientation, national origin and physical or cognitive abilities.
This position not a match with your skills? Click here to see other opportunities.
In accordance with local and state laws where applicable, qualified applicants with arrest or conviction records will be considered for employment.
EOE/Protected Veterans/Persons with Disabilities
#AHAWAYUP, #LI-DNP, #LI-Remote

What American Heart Association employees say

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About American Heart Association

Sourced by ZipRecruiter

\#TheAHALife is our company culture, our way of life, reflecting our diversity and inclusion, our focus on work-life harmonization and our Guiding Values. Discover why you will Be Seen. Be Heard. Be Valued™ at the American Heart Association by following us on LinkedIn, Instagram, Facebook, Twitter, and at heart.org.

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

Dallas, TX, US

Year founded

1924

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