Health Data Scientist

Booz Allen Hamilton

Atlanta, GA3h agovia LinkedIn

This job at a glance

Who can apply
New grads, no experience needed · Bachelor's degree
Must know
Machine learningData structures & algorithmsExcel
Nice to have
SparkPower BITableauData visualization
Work
On-site in Atlanta
Pay
$61.9K–$141K a year
Skill demand
Machine learning43%Data structures & algorithms24%Spark20%Excel17%of 99 similar entry-level jobs posted in the US this week
Listed
Nov 3, 2026 · still open

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The Opportunity

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data.

On our team, you’ll use your analytical skills to help create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll work with and learn from your teammates as you develop algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait.

Key Responsibilities

  • Work with clients to understand their questions and needs.
  • Dig into data-rich environments to find information.
  • Develop algorithms and systems with teammates.
  • Turn sets of disparate data points into objective answers using tools and frameworks.
  • Provide a deep understanding of data, its meaning, and its uses.

Requirements & Tech Stack

  • 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 Have

  • 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.

Vetting

  • Selected applicants will be subject to a government investigation.
  • May need to meet eligibility requirements of the U.S. government client.

Compensation

  • Projected compensation range: $61,900.00 - $141,000.00 (annualized USD).

Candidate AI Usage Policy

  • The use of artificial intelligence (AI) or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided.

Work Model

  • Employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: May require occasional in-person work at a Booz Allen or customer facility.
  • Hybrid: Expected to work from a Booz Allen or customer facility.
  • Onsite: Work will primarily be performed full-time at a customer facility.

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