Health Data Scientist

Booz Allen Hamilton•Atlanta, GA

2d•$61,900 - $141,000

About The Position

As a Health Data Scientist at Booz Allen, you will analyze complex, structured and unstructured data to help clients answer questions and make informed decisions. You will work closely with clients to understand their needs and explore data-rich environments, developing algorithms and systems with teammates. You will select appropriate tools and frameworks to turn disparate data into useful information and explain what the data means and how it can be used. The work applies data science to challenges across public and private sectors, including health-related research. Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. The role requires the ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements. The posting describes Booz Allen's benefits and compensation and notes that the projected annualized salary range is $61,900 to $141,000, with pay determined by factors including location, qualifications, experience, and organizational requirements.

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 analytical needs.
Analyze data-rich environments to identify useful information and insights.
Develop algorithms and systems in collaboration with teammates.
Select and apply appropriate tools and frameworks to turn disparate data into objective answers.
Communicate an understanding of data, its meaning, and potential uses to support informed client decisions.