Data Scientist, Lead

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Lexington Park, MD
Employment
Part-time
Posted
30 days ago
Freshness
Confirmed live today
Closes
Jan 5, 2027

Market check

Salary context

How this pay compares to similar roles

Similar $167k
$101k $238k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $135,000–$199,650.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1815 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 893 roles with salary data.

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At a glance

TL;DR · Data Scientist, Lead

The Data Scientist, Lead will join a team focused on improving Navy mission solutions by transforming complex, disparate data into objective answers for military leaders. In this role, you will work closely with customers to understand their needs, digging into data-rich environments to develop algorithms, write scripts, and build predictive analytics. You will apply machine learning and various frameworks to provide deep insights into structured and unstructured data sources. Required skills include over twelve years of experience in statistical and general-purpose programming, data exploration, cleaning, and visualization. You must possess expertise in natural language processing, text mining, and developing experimental analytic plans. Candidates must hold a Master's degree in a quantitative field and maintain a Secret clearance to solve these complex technical problems.

What you'll do

  • Identify customer needs and questions to extract relevant information from data-rich environments.
  • Develop algorithms and write scripts to process disparate data points into objective answers.
  • Build predictive analytics and apply machine learning techniques to solve complex problems.
  • Create experimental and analytic plans for data modeling processes to determine cause and effect.
  • Perform data exploration, cleaning, mining, and visualization for targeted data sources.
  • Lead teams in the development of solutions for complex programs and deliverables.
  • Provide customers with a deep understanding of their data and actionable insights for decision-making.

What we're looking for

  • Master's degree in Data Science, Applied Mathematics, Computer Science, Engineering, Statistics, Physics, Computer Networks, or Operations Research.
  • 12+ years of experience with statistical and general-purpose programming languages for data analysis.
  • 12+ years of experience analyzing structured and unstructured data sources.
  • 10+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
  • 8+ years of experience developing experimental and analytic plans for data modeling processes using strong baselines and accurately determining cause and effect relationships.
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
  • Experience leading a team, projects, deliverables, and the development of solutions to complex programs.
  • Secret clearance.

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