Data Scientist, Mid

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: McLean, VAWashington, DC
Salary: $77,600–$176,000 / yr
Posted: 3 days ago
Closes: Sep 14, 2026
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $160k

This role $127k

$61k most similar roles pay here $229k

This role pays less than 65% of similar roles. Most pay $126,800–$192,375 — the shaded band above. At the midpoint, this role pays about $127k versus about $160k for comparable roles.

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 711 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 702 roles with salary data.

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At a glance

TL;DR · Data Scientist, Mid

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As a mid-level Data Scientist joining our dynamic team, you will play a crucial role in leveraging advanced analytics to drive strategic business decisions. Your daily responsibilities include developing predictive models, conducting statistical analyses, and creating data visualizations that help identify trends and insights. You will work closely with cross-functional teams to implement machine learning solutions and enhance existing algorithms. Proficiency in Python or R is essential, along with experience using SQL for data extraction and manipulation. Familiarity with tools like TensorFlow, scikit-learn, and Tableau is highly beneficial. This role involves tackling complex challenges within our large-scale e-commerce platform, focusing on optimizing customer experiences and improving operational efficiency.

Skills

Python Pandas NumPy Scikit-learn TensorFlow Keras SQL AWS Google Cloud Platform Azure Git Jupyter Notebook CI/CD MLOps

What you'll do

Analyze complex data sets to identify trends and patterns.
Develop predictive models using machine learning algorithms.
Communicate insights and recommendations to stakeholders effectively.
Maintain and update databases with new information regularly.
Ensure data accuracy by validating results through statistical methods.

What we're looking for

Bachelor’s degree in a quantitative field such as statistics, mathematics, or computer science.
3+ years of experience in data analysis and modeling.
Proficiency in Python/R for statistical computing and data analysis.
Experience with SQL for database querying and management.
Strong understanding of machine learning algorithms and techniques.

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