Data Scientist

American Association of Colleges of Osteopathic Medicine • Bethesda, MD

4d • Remote

About The Position

AACOM is seeking a full-time, motivated Data Scientist to join the Innovation team. Reporting to the Director of Data Science, this role supports AACOM’s internal analytics, applied research initiatives, and data product development by building and improving data pipelines, implementing research designs, and developing data visualization tools. This position is ideal for an early-career data professional who enjoys working with complex datasets, building reproducible workflows, and translating data into actionable insights. The role emphasizes clean Python-based development, sustainable data processes, dashboard development, and applied analytics supporting osteopathic medical education. Our ideal candidate is someone who: Enjoys solving complex problems with data and building efficient, scalable workflows Is naturally curious, solutions-oriented, and committed to continuous learning Has experience using Python and SQL for analytics, automation, or data engineering Is comfortable leveraging AI tools and emerging technologies to improve efficiency, support innovation, and enhance decision-making Aligns with AACOM’s mission to advance osteopathic medical education and improve public health ABOUT AACOM The American Association of Colleges of Osteopathic Medicine, or AACOM, was founded in 1898 to lend support and assistance to the nation's osteopathic medical schools, and to serve as a unifying voice for osteopathic medical education. The association is guided by its Board of Deans of member colleges of osteopathic medicine, and various other member councils and committees. AACOM represents and advances the continuum of osteopathic medical education by: Supporting our member institutions as they educate the future physician workforce Increasing awareness of osteopathic medical education and osteopathic medicine Promoting excellence in medical education, policy, research, and service and Fostering innovation and quality throughout medical education

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Public Health, or a related field; or equivalent professional experience.
• Three(3) or more years of experience working with Python and SQL.
• One(1)or more years of experience building data models and using advanced analytics, including machine learning or statistical modeling techniques.
• Strong proficiency in Python and SQL.
• Experience with data manipulation, statistical analysis, machine learning, and data visualization libraries.
• Strong data cleaning, validation, and troubleshooting skills.
• Experience working with structured datasets and relational databases.
• Exposure to cloud platforms such as AWS and/or Azure.
• Understanding of Dev Ops or deployment practices.
• Comfort using modern AI-assisted tools where appropriate.
• Ability to work independently, manage ambiguity, and solve problems proactively.
• Strong attention to detail and documentation practices.
• Intellectual curiosity, adaptability, and openness to feedback.
• Ability to manage sensitive data responsibly and in compliance with FERPA.

Responsibilities

• Develop and maintain Python-based data pipelines that collect, process, and ingest data from multiple sources.
• Improve existing data workflows with a focus on quality assurance, sustainability, documentation, and maintainability.
• Ensure analytic workflows are reproducible, well-structured, and scalable.
• Support responsible handling of sensitive data in compliance with FERPA and AACOM data governance standards.
• Develop dashboards and data visualization tools primarily using Tableau and Python.
• Maintain and enhance existing dashboards, internal analytics tools, and client-facing data products.
• Translate complex datasets into accessible and actionable visual insights.
• Translate defined research designs into executable analytic workflows.
• Clean, transform, and validate complex administrative and survey datasets.
• Conduct quantitative analyses with increasing independence over time.
• Contribute to applied research initiatives including workforce studies, survey analysis, and text-based or NLP projects.
• Support development and operationalization of statistical and/or ML models used in research and operational initiatives.
• Partner with colleagues across AACOM departments to support strategic data and analytics initiatives.
• Contribute to a culture of innovation, continuous learning, and process improvement.
• Document workflows, methodologies, and technical processes clearly and consistently.
• Stay current on emerging tools, technologies, and best practices in data science and analytics.

Benefits

• Annual bonus program
• 403(b) with generous employer contribution
• Company paid medical, dental, and vision insurance
• Company-provided life insurance, short-term disability, and long-term disability plans
• Flexible Spending Account
• 12 annual company-paid holidays
• Vacation & sick leave benefits
• Professional development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level