Data Scientist, Mid

Booz Allen Hamilton

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Washington, DC
Employment: Full-time
Posted: 56 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $162k

$86k $222k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$196,250.

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, Mid

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The Data Scientist, Mid will join a team dedicated to improving a client's data science capability. In this role, you will work closely with clients to understand their specific needs, digging into data-rich environments to identify key information pieces. You will mentor teammates and utilize various tools and frameworks to transform disparate data points into objective answers that facilitate informed leadership decisions. Key responsibilities include performing testing and evaluation of AI/ML models and providing deep data insights. Required skills include experience in data science, engineering, analytics, statistics, or computer science, along with an active TS/SCI clearance. The work involves solving complex problems within a data-rich environment, potentially involving GEOINT, LLMs, and all-source analysis to support Department of Defense or Intelligence Community clients.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

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Skills

Data Science Machine Learning Artificial Intelligence LLMs Statistics GEOINT Analytics All-source Analysis

What you'll do

Identify and analyze client needs to understand specific data questions and objectives.
Extract and process disparate data points from complex, data-rich environments.
Apply various tools and frameworks to transform raw data into objective answers.
Perform testing and evaluation of AI and machine learning models.
Mentor teammates to improve the client's overall data science capability.
Provide customers with a deep understanding of their data and its practical implications.
Deliver actionable insights to help leadership make informed decisions.

What we're looking for

3+ years of experience in data science, engineering, analytics, statistics, or computer science fields.
Experience collaborating in teams.
Ability to perform testing and evaluation of AI/ML models.
Active TS/SCI clearance and willingness to take a polygraph exam.
Bachelor’s degree in Statistics, Data Science, Computer Science, or Social Science, or 4+ years of experience in those fields in lieu of a degree.
Experience with GEOINT or LLMs (preferred).
Experience performing or supporting all-source analysis (preferred).
Experience supporting DoW or IC clients (preferred).