Data Scientist, Lead

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 $173k
$107k $238k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $141,725–$203,862.

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, Lead

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The Data Scientist, Lead joins a team to transform complex structured and unstructured data into objective answers for clients across private and public sectors. This technical leader will guide and mentor a team while overseeing the development of algorithms and systems to solve problems in areas like fraud detection and national intelligence. Daily responsibilities include working closely with clients to identify needs, digging into data-rich environments, and visualizing complex concepts for non-technical leadership. The role requires expertise in building advanced analytics and AI/ML models, including tools leveraging LLMs or agentic AI. Key technologies and skills include R, Python, SQL/NoSQL, MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, MySQL, Plotly, Seaborn, and ggplot2, alongside proficiency in statistics, probability modeling, and data engineering.

Skills

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

What you'll do

  • Translate complex data sets into objective answers to advise clients on informed decisions.
  • Guide and mentor team members while overseeing the development of algorithms and systems.
  • Build advanced analytics and AI/ML models, including tools leveraging LLMs or agentic AI.
  • Identify new opportunities to use data science solutions to solve clients' toughest challenges.
  • Visualize complex data and concepts for non-technical leadership to highlight system risks.
  • Perform data retrieval, cleaning, modeling, accuracy evaluation, and testing.
  • Provide deep technical understanding of data meaning and practical applications to stakeholders.

What we're looking for

  • 12+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products.
  • 8+ years of experience building advanced analytics and AI/ML models, including tools leveraging LLMs or agentic AI.
  • Experience working on classified networks in support of DoW or IC clients.
  • Ability to visualize complex data and concepts for non-technical leadership, highlighting system risks and articulating "go or no-go" criteria.
  • Active TS/SCI clearance and willingness to take a polygraph exam.
  • Bachelor’s degree with 17+ years of experience in scientific techniques, Master's with 12+ years, or 21 years of experience in lieu of a degree.
  • Experience with the development of algorithms leveraging R, Python, or SQL/NoSQL (preferred).
  • Experience with distributed data tools, Machine Learning, AI, NLP, or visualization packages (preferred).

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