Data Scientist, Mid

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
Aurora, CO
Employment
Full-time
Posted
69 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 joins a team dedicated to transforming complex structured and unstructured data into objective answers for private and public sector clients. You will work closely with clients to understand their needs, digging into data-rich environments to develop algorithms and systems that solve problems like fraud detection and national intelligence. Your daily responsibilities include building advanced analytics and AI/ML models, specifically leveraging LLMs or agentic AI, while performing data retrieval, cleaning, modeling, accuracy evaluation, testing, and visualization. You must utilize scientific techniques including mathematics, statistics, probability modeling, data mining, and data engineering. Technical skills include R, Python, SQL, NoSQL, MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, MySQL, Plotly, Seaborn, and ggplot2. This role requires experience on classified networks supporting DoW or IC clients.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

See salary data

Skills

Machine Learning Artificial Intelligence LLMs Agentic AI Python R SQL NoSQL NLP Spark Hadoop Kafka Hive EMR MapReduce Gurobi MySQL Plotly Seaborn ggplot2 Data Engineering Data Warehousing Statistics Probability Modeling Data Mining

What you'll do

  • Develop algorithms and systems to turn disparate data points into objective answers.
  • Build advanced analytics and AI/ML models, including tools leveraging LLMs or agentic AI.
  • Perform data retrieval, cleaning, modeling, accuracy evaluation, testing, and visualization.
  • Translate complex technical findings into graphical, written, visual, and verbal narrative products.
  • Visualize complex data and concepts for non-technical leadership to highlight system risks.
  • Articulate "go or no-go" criteria clearly to help clients make informed decisions.
  • Provide a deep understanding of data meaning and practical applications to clients.

What we're looking for

  • 3+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products.
  • Experience building advanced analytics and AI/ML models, including LLMs or agentic AI, data retrieval, cleaning, modeling, and visualization.
  • Experience working on classified networks in support of DoW or IC clients.
  • Ability to visualize complex data for non-technical leadership and articulate system risks and "go or no-go" criteria.
  • Active TS/SCI clearance and willingness to take a polygraph exam.
  • Bachelor’s degree and 3+ years of experience with scientific techniques like mathematics, statistics, AI, or data engineering.
  • 7+ years of experience with scientific techniques like mathematics, statistics, AI, or data engineering in lieu of a degree.
  • 2+ years of experience in R, Python, SQL, NoSQL, Distributed data tools, or NLP (preferred).

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