Data Scientist, Mid

Booz Allen Hamilton

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Quick summary

Work type: On-site
Location: Washington, DC
Employment: Full-time
Posted: 12 days ago
Freshness: Confirmed live today
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 and ML models. Required skills include experience collaborating in teams, supporting DoW or IC clients, and possessing an active TS/SCI clearance. The role involves providing deep data understanding within a context of all-source analysis, potentially involving GEOINT or LLMs, to solve complex problems involving structured and unstructured data sets.

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 IoT All-source analysis Testing and Evaluation

What you'll do

Identify and analyze client needs to translate complex business questions into data science objectives.
Extract and process disparate data points from data-rich environments to find relevant information.
Perform testing and evaluation of artificial intelligence and machine learning models.
Use various tools and frameworks to convert raw data into objective answers for leadership.
Mentor teammates on data science methodologies and technical execution.
Provide customers with a deep understanding of their data and actionable insights.
Support Department of War or Intelligence Community clients with data-driven solutions.

What we're looking for

Experience collaborating in teams.
Experience supporting DoW or IC clients.
Ability to perform testing and evaluation of AI and 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 and 3+ years of experience in a related field.
4+ years of experience in a statistics, data science, computer science, or social science field in lieu of a degree.
Experience with GEOINT or LLMs (preferred).
Experience performing or supporting all-source analysis (preferred).