Data Scientist

Booz Allen Hamilton

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Quick summary

Work type
On-site
Location
Chantilly, VA
Salary
$99,000–$225,000 / yr
Posted
10 days ago
Freshness
Confirmed live today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $159k
This role $162k
$84k most similar roles pay here $240k

This role pays more than 59% of similar roles. Most pay $126,800–$191,875 — the shaded band above. At the midpoint, this role pays about $162k versus about $159k for comparable roles.

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 775 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 752 roles with salary data.

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At a glance

TL;DR · Data Scientist

As a Data Scientist, you will join a team dedicated to transforming complex structured and unstructured data into actionable information to solve global challenges such as fraud detection, cancer research, and national intelligence. You will work closely with clients to identify their specific needs, then dive into data-rich environments to develop algorithms and systems that provide objective answers for informed decision-making. The role requires expertise in data exploration, cleaning, analysis, visualization, and mining, alongside experience building predictive models and performing quantitative analyses. Key technical skills include Machine Learning, Artificial Intelligence, Natural Language Processing, and text mining. You will utilize tools such as R, Python, SQL, NoSQL, MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, MySQL, Plotly, Seaborn, or ggplot2. Candidates must possess a TS/SCI clearance with a polygraph.

What does a Data Scientist earn in Virginia?

Median $145200 from 77 postings across 6 companies.

See salary data

What you'll do

  • Analyze structured and unstructured data sets to identify key information and insights.
  • Develop algorithms and systems using various tools and frameworks to solve complex problems.
  • Create predictive data models and perform quantitative analyses for client decision-making.
  • Translate complex data into actionable information to address specific client needs.
  • Perform data exploration, cleaning, mining, and visualization of targeted data sources.
  • Apply machine learning, artificial intelligence, and natural language processing techniques to data sets.
  • Provide deep interpretations of what data means and how it can be utilized by clients.

What we're looking for

  • TS/SCI clearance with polygraph.
  • 2+ years of experience with data exploration, cleaning, analysis, visualization, or mining.
  • 2+ years of experience with statistical and general-purpose programming languages for data analysis.
  • Experience analyzing structured and unstructured data sources.
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
  • Knowledge of Machine Learning, Artificial Intelligence, Natural Language Processing, or text mining techniques.
  • 2+ years of experience with R, Python, SQL, NoSQL, distributed computing tools (Hadoop, Spark, etc.), or visualization packages (preferred); Master's degree (preferred).

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