Data Scientist, Mid

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$77,600–$176,000 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $158k
This role $127k
$63k most similar roles pay here $217k

This role pays less than 62% of similar roles. Most pay $126,800–$188,315 — the shaded band above. At the midpoint, this role pays about $127k versus about $158k 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 817 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 795 roles with salary data.

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At a glance

TL;DR · Data Scientist, Mid

As a Data Scientist, Mid, you will join the team to unlock insights from complex structured and unstructured data sets to solve global challenges like fraud detection and cancer research. You will work closely with clients to understand their specific needs, then develop algorithms and systems that transform disparate data points into objective answers for informed decision-making. Your daily work involves data exploration, mining, cleaning, analysis, visualization, and the development of predictive models and quantitative analyses. The role requires proficiency in programming languages such as R, Python, Perl, SAS, or SPSS, along with knowledge of machine learning, AI, Natural Language Processing, and graph algorithms. You may also utilize tools like SQL, NoSQL, Hadoop, Spark, Palantir Foundry, and visualization packages including Plotly, Seaborn, or ggplot2 to provide deep understanding of data.

What does a Data Scientist earn in California?

Median $213756 from 71 postings across 26 companies.

See salary data

What you'll do

  • Analyze structured and unstructured data sets to identify key information for clients.
  • Develop algorithms and systems using various tools and frameworks to solve complex problems.
  • Perform data mining, cleaning, and exploration to turn disparate data points into objective answers.
  • Create predictive data models and quantitative analyses based on targeted data sources.
  • Produce data visualizations to communicate findings and provide a deep understanding of the data.
  • Apply machine learning, artificial intelligence, and natural language processing techniques to solve global challenges.
  • Translate complex data sets into actionable insights to help clients make informed decisions.

What we're looking for

  • Ability to obtain a Secret clearance.
  • Experience with programming languages such as R, Perl, Python, SAS, or SPSS for data analysis.
  • Experience in data exploration, mining, cleaning, analysis, visualization, machine learning, statistics, graph algorithms, or AI.
  • Knowledge of machine learning, AI, Natural Language Processing (NLP), and text mining techniques.
  • Ability to develop predictive data models, quantitative analyses, and visualizations from structured and unstructured data sources.
  • 2+ years of experience in developing algorithms using R, Python, SQL, or NoSQL (preferred).
  • 2+ years of experience with distributed data tools like Hadoop, Spark, or Kafka; and advanced degrees or specific software expertise (preferred).
  • Bachelor’s degree.

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