Health Data Scientist
Listed on 2026-01-18
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Business
Data Scientist, Data Analyst
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Are you ready to combine your expertise in health communication, data analytics, and behavioral research to push the boun dari es of data-driven health interventions? Are you fascinated by the interplay between data, human behavior, and artifi cia l intelligence? In today’s increasingly complex and connected world, innovative approaches to health data analytics are essential for empowering interventions that support vulnerable populations and reduce health disparities.
As aHealth Data Scientist, you’ll join a dynamic team focus ed on turning complex datasets into actionable solutions that impact both public health and private sectors. You'll leverage your expertise in mixed- met hods research, statistical met hodologies, and data modeling to deliver real-world solutions. Your ability to synthesize complex data—whether analyzing health communication trends, identifying behavioral patterns, or modeling health risks—will be critical for tackling global health challenges.
With advancements in AI as part of your toolkit, you’ll help design processes and insights that guide transformational decision-making. If you’re a results-driven professional with a passion for innovation, stakeholder collaboration, and creating change through data, this is the role where your talents will truly make a difference.
Join us. The world can’t wait.
You Have:
- 3+ years of experience leveraging statistical programming languages, such as Python or R, to develop data models, analyze quantitative datasets, and deliver evidence-based insights
- Experience in quantitative and qualitative research, including interviews, surveys, and behavioral modeling
- Experience with statistical analysis, data preprocessing techniques, and feature engineering
- Experience c ond ucting met hodologies to inform healthcare solutions, such as cluster analysis or burden-of-illness calculations
- Experience in collaborating with various stakeholders and large health data sets derived from real-world data, including from public health agencies, healthcare systems, and community-based organizations, to guide data-driven decision-making
- Experience in creating health data dashboards and communicating findings using tools such as Tableau or Power BI
- Experience in working with large datasets and querying databases using SQL or Spark
- Ability to present complex findings to technical and non-technical audiences
- Public Trust
- Doctorate degree in a Biological Sciences, Epidemiology, Public Health, So cia l and Behavioral Sciences, or Data Science field
Nice If You Have:
- 2+ years of experience in Artifi cia l Intelligence, including Machine Learning, Agentic AI, or Natural Language Processing
- Experience with machine learning libraries and tools such as Tensor Flow, Scikit-learn, or Py Torch
- Experience using cloud services, such as AWS, GCP, or Azure to manage or analyze datasets
- Experience working in healthcare systems, public health programs, or medical device analytics
- Possession of strong written and verbal communication skills
Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client ;
Public Trust determination is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.
Individuals…
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