Data Scientist, Mid

Booz Allen Hamilton

Confirmed live yesterday Low trust

Quick summary

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

Market check

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

JOB TITLE: Data Scientist, Mid The Data Scientist, Mid joins a team dedicated to transforming complex structured and unstructured data into objective answers to solve global challenges. In this role, you will work closely with clients to understand their specific needs, digging into data-rich environments to develop algorithms and systems. You will build predictive data models, perform quantitative analyses, and create data visualizations to support informed decision-making. Key technical requirements include experience with statistical and general-purpose programming languages, machine learning techniques, and data mining. Preferred skills include proficiency in R, Python, SQL, NoSQL, and distributed computing tools like Spark, Hadoop, and Kafka. You will apply these skills to diverse domains ranging from fraud detection and cancer research to national intelligence and Air Force operations.

What does a Data Scientist earn in Virginia?

Median $162000 from 89 postings across 9 companies.

See salary data

What you'll do

  • Analyze structured and unstructured data sets to solve complex global challenges.
  • Develop algorithms and systems to turn disparate data points into objective answers.
  • Build and apply machine learning techniques to create real-world impact.
  • Develop predictive data models and perform quantitative analyses.
  • Perform data exploration, cleaning, mining, and visualization.
  • Translate complex data findings into actionable insights for client decision-making.
  • Lead the development of solutions for complex programs.

What we're looking for

  • Experience with data exploration, cleaning, analysis, visualization, or mining.
  • 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.
  • Experience leading the development of solutions to complex programs.
  • Experience building and applying machine learning techniques.
  • Ability to travel up to 25% of the time.
  • Bachelor’s degree.

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