Health Data Scientist

Booz Allen Hamilton•Atlanta, GA
•$61,900 - $141,000

About The Position

As a Health Data Scientist at Booz Allen, you will analyze complex, data-rich environments and turn structured and unstructured data into useful information that helps clients make informed decisions. You will work closely with clients to understand their questions and needs, examine data, and collaborate with teammates to develop algorithms and systems. The role applies data science to challenges across public and private sectors, with potential relevance to areas such as cancer research, fraud detection, and national intelligence. The position requires communicating analytical findings to technical and nontechnical audiences and using data-science tools and frameworks to provide a clear understanding of data and its uses. Applicants must be able to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements. Selected applicants will be subject to a government investigation and may need to meet U.S. government client eligibility requirements. Booz Allen describes its compensation package as including benefits and other offerings that support employee well-being. The projected annual compensation range is $61,900 to $141,000 USD, with actual salary determined by factors including location, education, skills, experience, contract affordability, and organizational requirements. The role’s work model is not specified in the posting.

Requirements

  • Experience using programming languages for data cleaning, analysis, or visualization.
  • Experience working with structured data, including spreadsheets, relational databases, or data repositories.
  • Experience communicating analytical findings to technical and nontechnical audiences through written products, presentations, or visualizations.
  • Knowledge of data quality, metadata, data management, or informatics concepts.
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
  • Bachelor’s degree.

Nice To Haves

  • Experience translating scientific, biomedical, laboratory, or public health data into meaningful insights or recommendations.
  • Experience performing system administration duties and support.
  • Experience using data visualization tools and platforms such as Tableau, Power BI, or Databricks.
  • Knowledge of data modeling, data standards, controlled vocabularies, ontologies, or data interoperability.
  • Knowledge of reproducible research, version control, or software development practices.
  • Ability to explain data limitations, assumptions, and quality considerations to nontechnical stakeholders.
  • Master’s degree.

Responsibilities

  • Work with clients to understand their questions and needs.
  • Analyze data-rich environments to identify information that can answer client questions.
  • Collaborate with teammates to develop algorithms and systems.
  • Use appropriate tools and frameworks to turn disparate data into objective findings that support client decisions.
  • Communicate analytical findings and explain the meaning and potential uses of data.

Benefits

  • Health, life, and disability benefits.
  • Financial and retirement benefits.
  • Paid leave.
  • Professional development.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care.
  • Recognition awards for exceptional performance and demonstration of company values.
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