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Data Science International Remote Jobs (NOW HIRING)

The Data Science Analyst will leverage machine learning and statistical modeling to develop predictive models and deliver insights to stakeholders. Responsibilities : • Perform exploratory data ...

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science . Porch Group is looking for a transformative Head of Data Science to ...

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science . Porch Group is looking for a transformative Head of Data Science to ...

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... This is a full-time position About the Team The Data Science team provides critical insights and ...

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

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Data Science International Remote information

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$37.5K

$122.7K

$196.5K

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

As of Jul 6, 2026, the average yearly pay for data science international remote 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 is the difference between Data Science International Remote vs Data Analyst International Remote?

AspectData Science International RemoteData Analyst International Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often some programming skillsBachelor's in Statistics, Mathematics, or related fields; basic data analysis skills
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, focused on data reporting and visualization tasks
Employer & Industry UsageTech, finance, healthcare, and consulting firmsBusiness, marketing, finance, and retail sectors

Data Science International Remote involves advanced analytics, machine learning, and programming, while Data Analyst International Remote focuses on data reporting, visualization, and basic analysis. Both roles are remote and in demand across various industries, but Data Science typically requires more technical skills and higher qualifications.

What are some common challenges faced by data scientists working in an international remote setting?

Data scientists working internationally and remotely often encounter challenges such as collaborating across time zones, which can make real-time communication and meetings difficult. Additionally, remote work may require extra effort to stay aligned with team goals, maintain effective data sharing, and ensure data privacy and compliance with various countries' regulations. Building strong relationships with colleagues may also take more intentional communication and proactive engagement. However, many companies support remote data scientists with robust collaboration tools and flexible work schedules to help mitigate these challenges.

What are the key skills and qualifications needed to thrive as a Data Scientist working internationally and remotely, and why are they important?

To excel as a Data Scientist in an international remote role, you need strong expertise in statistics, data analysis, and programming languages such as Python or R, typically backed by a degree in computer science, statistics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and cloud-based platforms like AWS or Google Cloud is essential, and certifications in these areas can be advantageous. Outstanding communication, self-motivation, and cross-cultural collaboration skills help you effectively share insights and work with diverse teams across time zones. These competencies ensure you can independently deliver impactful data solutions while adapting to global team dynamics and remote work challenges.

What is a Data Science International Remote job?

A Data Science International Remote job involves analyzing and interpreting complex data sets to help organizations make data-driven decisions, while working from a location outside the employer's country. This role typically requires strong skills in statistics, programming, and data visualization, and may involve collaborating with global teams across different time zones. Remote data scientists often use tools like Python, R, and SQL, and must be adept at communicating insights clearly to both technical and non-technical stakeholders. The international aspect adds the opportunity for cross-cultural collaboration and exposure to diverse data challenges.
More about Data Science International Remote jobs
What cities are hiring for Data Science International Remote jobs? Cities with the most Data Science International Remote job openings:
What states have the most Data Science International Remote jobs? States with the most job openings for Data Science International Remote jobs include:
Infographic showing various Data Science International Remote job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, 5% Contract, and 1% Nights. Highlights an 87% Physical, 3% 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 12 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

27th of 690 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

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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