Health Data Scientist: Turn Health Data into Insights

Booz Allen; Atlanta (GA); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Health Data Scientist position is focused on turning complex data from IoT, bioscience, and health datasets into actionable insights for clients. You’ll apply ML/AI techniques, work with structured and unstructured data, and communicate results to diverse audiences.

The role emphasizes collaboration with clients and teams, development of scalable analytics, and thoughtful data interpretation to support decision-making in private and public sector projects.

Qualifications

• Experience using programming languages for data cleaning, analysis, or visualization.
• Experience with structured data: spreadsheets, relational databases, or data repositories.
• Experience communicating analytical findings to technical and nontechnical audiences in 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

Responsibilities

• Analyze large and complex data sets to generate actionable insights for clients.
• Collaborate with clients to understand questions and translate them into analyses.
• Develop algorithms and data pipelines to turn data into objective answers.
• Communicate findings to both technical and nontechnical stakeholders.

Skills

Data cleaning

Data analysis

Data visualization

Structured data

Communication of findings

Data quality knowledge

Public Trust eligibility

Education

Bachelor’s degree

Master’s degree

Tools

Tableau

Power BI

Databricks

Data modeling

Version control

Job description

Booz Allen Health Data Scientist position is focused on turning complex data from IoT, bioscience, and health datasets into actionable insights for clients. You’ll apply ML/AI techniques, work with structured and unstructured data, and communicate results to diverse audiences.

The role emphasizes collaboration with clients and teams, development of scalable analytics, and thoughtful data interpretation to support decision-making in private and public sector projects.