Data Scientist, Mid

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

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

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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 the team to transform complex structured and unstructured data into objective answers for clients. You will work closely with stakeholders to understand their specific needs, digging into data-rich environments to develop algorithms and systems that solve global challenges. Your daily responsibilities include data exploration, cleaning, analysis, and mining to build predictive data models and quantitative analyses. You will utilize statistical and general-purpose programming languages, including R, Python, and SQL, alongside NoSQL and distributed computing tools like Hadoop, Hive, Spark, and Kafka. Proficiency with visualization packages such as Plotly, Seaborn, or ggplot2 is also required. This role addresses critical problems in domains ranging from fraud detection and cancer research to national intelligence.

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 identify key information and trends.
  • Develop algorithms and systems to turn disparate data points into objective answers.
  • Build and apply machine learning techniques to solve complex problems.
  • Create predictive data models and perform quantitative analyses.
  • Perform data exploration, cleaning, and mining to prepare information for analysis.
  • Develop data visualizations to communicate findings and insights to clients.
  • Translate complex data into actionable information to support informed client decision-making.

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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