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Data Science Fellowship Jobs (NOW HIRING)

Axle

Data Science Fellow - AI/NLP

Rockville, MD

(ID: 2026-2316) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers ...

Baltimore Orioles

Data Scientist Fellow

Baltimore, MD · On-site

$20/hr

Data Scientist Fellow Reports To: Assistant GM, Analytics Department: Baseball Analytics Job Type ... Science, or equivalent. * Experience with SQL. * Experience with R or Python and pragmatic ...

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$122.7K

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How much do data science fellowship jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data science fellowship 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 Fellow, and why are they important?

To thrive as a Data Science Fellow, you need a strong background in statistics, programming (often in Python or R), and data analysis, usually supported by an advanced degree in a quantitative field. Familiarity with machine learning libraries, data visualization tools, and version control systems is typically required, along with experience using platforms like Jupyter or SQL databases. Critical thinking, problem-solving, and the ability to communicate complex findings clearly are essential soft skills for this role. These skills and qualities are vital for extracting actionable insights from data and effectively collaborating with multidisciplinary teams.

What is a Data Science Fellowship?

A Data Science Fellowship is an intensive training program designed to help individuals develop advanced skills in data science, analytics, and machine learning. These fellowships typically combine hands-on projects, mentorship, and networking opportunities to prepare participants for careers in data science. They often cater to recent graduates, career changers, or professionals seeking specialized experience, and may last anywhere from a few weeks to several months. Many programs also offer real-world experience by partnering with companies for project-based learning.

What types of projects and collaboration opportunities can I expect during a Data Science Fellowship?

During a Data Science Fellowship, you can expect to work on real-world, data-driven projects that tackle challenges faced by partner organizations or sponsors. Fellows often collaborate closely with multidisciplinary teams, including other data scientists, domain experts, and sometimes clients, to develop actionable solutions. This environment fosters learning through peer feedback and mentorship, while providing the chance to build a diverse portfolio. Regular meetings, code reviews, and presentations are common, helping fellows develop both technical and communication skills essential for career advancement.
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Data Science Fellowship jobs near you
Infographic showing various Data Science Fellowship job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Temporary. Highlights an 90% In-person, 2% Hybrid, and 8% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
AAR Data Science Fellow

AAR Data Science Fellow

ASSOCIATION OF AMERICAN RAILROADS

Washington, DC • On-site

$25 - $28/hr

Part-time

Posted 15 days ago

Job description

Description
Data Science Fellowship
The Policy & Economics (P&E) Division of the Association of American Railroads is pleased to invite applications for the Data Science Ph.D. Fellowship for the year 2025-2026. This fellowship offers a unique opportunity for Ph.D. students or experienced professionals interested in data management, analysis, and visualization projects related to the railroad industry and its regulatory requirements.
About the Fellowship:
The Data Science Fellowship aims to provide data science professionals with hands-on experience and collaborative opportunities to enhance their skills. Successful candidates will work part-time for one year, engaging in activities at the intersection of data science methods and scholarly domains utilizing data science for knowledge discovery and creation. Fellows will contribute to P&E's data modernization effort and will have the opportunity to contribute to AAR's recurring reports and publications, gaining valuable expertise in the railroad industry. The selected candidate will partner with economists and analysts to understand business process flow and the associated data flow, inputs, and outputs to derive a connected design.
Key Details:
  • Part-time appointment (24 hours/week, onsite) for one year with the possibility of appointment extension for another year.
  • Annual stipend commensurate with experience
  • Mentorship and career support provided
  • Opportunity to contribute to data modernization efforts, develop impactful visualizations and dashboards, and gain specialized knowledge of the railroad industry by supporting AAR's recurring reports, ensuring timely delivery and high standards of quality and clarity.

Requirements
Qualifications
Broad expertise in data science or related discipline
Proficiency in SQL (writing and optimizing queries), Python (cleaning and analyzing large structured and unstructured datasets), and statistical modeling
Experience with ETL tools, database technologies, data modeling, data security, data governance
Strong communication skills to collaborate across teams and the ability to break down complex problems into actionable steps
Eligibility to work in the U.S. (AAR does not provide visa sponsorship)

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