Data Scientist

Booz Allen Hamilton

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Chantilly, VA
Employment
Full-time
Posted
49 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $163k
$98k $232k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$198,500.

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 1781 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 898 roles with salary data.

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At a glance

TL;DR · Data Scientist

JOB TITLE: Data Scientist As a Data Scientist, you will join a team dedicated to transforming complex structured and unstructured data into objective answers to solve global challenges. You will work closely with clients to understand their specific needs, digging into data-rich environments to develop algorithms and systems. Your daily responsibilities include creating predictive data models, performing quantitative analyses, and providing deep data visualizations. You will utilize scripting languages like Python or R, alongside object-oriented programming. Technical requirements include proficiency with data processing frameworks such as Pandas, Polars, or Spark, and machine learning frameworks like scikit-learn, pytorch, or tensorflow. You will apply knowledge of Natural Language Processing, Artificial Intelligence, and IoT to address problems ranging from fraud detection to national intelligence.

What does a Data Scientist earn in Virginia?

Median $162000 from 90 postings across 8 companies.

See salary data

What you'll do

  • Develop algorithms and systems to turn complex data sets into useful information.
  • Work with clients to identify specific questions and data needs.
  • Analyze structured and unstructured data to find relevant information pieces.
  • Build and deploy predictive data models and quantitative analyses.
  • Implement natural language processing, text mining, or machine learning techniques.
  • Create visualizations of targeted data sources to support informed decision-making.
  • Provide deep technical understanding of data meanings and practical applications.

What we're looking for

  • Bachelor’s degree in a STEM field.
  • Top Secret clearance.
  • Experience with common scripting languages such as Python or R.
  • Experience with object-oriented programming.
  • Knowledge of data processing frameworks such as Pandas, Polars, or Spark.
  • Knowledge of statistical or machine learning frameworks such as scikit-learn, pytorch, tensorflow, or R.
  • Knowledge of structured and unstructured data sources.
  • Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing.
  • Ability to develop predictive data models, quantitative analyses, and visualization of targeted data sources.
  • Ability to deploy natural language processing, text mining, or machine learning techniques.
  • Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL (preferred).
  • Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL (preferred).
  • Experience working with LLMs, generative AI systems, or agentic frameworks (preferred).
  • Master’s degree (preferred).

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