Data Scientist

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
Stennis Space Center, MS
Employment
Full-time
Posted
56 days ago
Freshness
Confirmed live today
Closes
Nov 30, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $166k
$97k $233k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$204,800.

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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Data Scientist

JOB TITLE: Data Scientist As a Data Scientist, you will join a team to transform complex structured and unstructured data into objective answers for clients across private and public sectors. You will lead the development of algorithms and systems, guiding teammates to solve problems in areas such as fraud detection, cancer research, and national intelligence. Your daily responsibilities include data exploration, cleaning, analysis, and mining to build predictive data models and quantitative analyses. You will utilize programming languages including Python, R, SQL, SAS, and MATLAB, alongside big data ecosystems like Spark, Databricks, ElasticSearch, and NiFi. The role requires expertise in Machine Learning, Artificial Intelligence, and Natural Language Processing to provide deep data understanding and actionable insights within secure environments for operational customers.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

See salary data

What you'll do

  • Analyze complex structured and unstructured data sets to solve global challenges.
  • Work closely with clients to identify specific questions and data needs.
  • Lead the development of algorithms and systems to provide objective answers.
  • Develop predictive data models and perform quantitative analyses.
  • Create data visualizations to help clients make informed decisions.
  • Use tools like Spark, Databricks, or SQL to manage big data ecosystems.
  • Deploy analytic or machine learning workflows in secure cloud environments.

What we're looking for

  • 5+ years of experience with data exploration, cleaning, analysis, visualization, or mining.
  • 5+ years of experience with statistical and general-purpose programming languages for data analysis.
  • 5+ years of experience programming in languages such as Python, R, SQL, SAS, or MATLAB.
  • Experience analyzing structured and unstructured data sources.
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
  • Experience with distributed or big data ecosystems such as Spark, Databricks, ElasticSearch, or NiFi.
  • Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing.
  • Bachelor’s degree.

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