Data Scientist

Booz Allen Hamilton

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Arlington, VAAlexandria, VAWashington, DC
Employment
Full-time
Posted
54 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $165k
$97k $232k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$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 1660 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 908 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 identify key information pieces. Your daily responsibilities include developing algorithms and systems, performing data exploration, cleaning, and mining, and creating predictive data models or quantitative analyses. You will utilize a technical stack including Python, R, SQL, NoSQL, and visualization packages like Plotly, Seaborn, or ggplot2. The role requires knowledge of machine learning, AI, Natural Language Processing, and distributed computing tools such as Databricks, Hadoop, and Spark. You will apply these skills to address diverse problems ranging from fraud detection to national intelligence.

What does a Data Scientist earn in Virginia?

Median $159922 from 90 postings across 9 companies.

See salary data

What you'll do

  • Analyze structured and unstructured data sources to solve complex client problems.
  • Develop algorithms and systems to turn disparate data points into objective answers.
  • Build predictive data models and perform quantitative analyses.
  • Create data visualizations to communicate insights and findings to clients.
  • Apply machine learning, AI, and Natural Language Processing (NLP) techniques to datasets.
  • Perform data exploration, cleaning, and mining to identify key information.
  • Provide deep technical understanding of data meanings to help clients make informed decisions.

What we're looking for

  • 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
  • Experience with statistical and general-purpose programming languages for data analysis, including Python.
  • Experience analyzing structured and unstructured data sources.
  • Experience developing predictive data models, quantitative analyses, or visualization of targeted data sources.
  • Knowledge of machine learning, AI, or Natural Language Processing (NLP).
  • Knowledge of text mining or machine learning techniques.
  • Bachelor’s degree.

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