Data Scientist, Mid

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
San Diego, CA
Employment
Full-time
Posted
48 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $161k
$89k $220k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$195,000.

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 1724 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 898 roles with salary data.

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At a glance

TL;DR · Data Scientist, Mid

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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 perform data exploration, mining, cleaning, and visualization to create predictive data models and quantitative analyses. The position 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 will utilize tools like SQL, NoSQL, Spark, and Palantir Foundry to provide deep insights. The work involves addressing diverse problems ranging from fraud detection to national intelligence and cancer research.

What does a Data Scientist earn in California?

Median $214500 from 117 postings across 27 companies.

See salary data

Skills

Python R SQL Machine Learning NLP NoSQL Spark Hadoop Kafka Palantir Foundry Tableau Power BI Plotly Seaborn ggplot2 SAS SPSS Perl Hive EMR Gurobi MySQL MapReduce Data Visualization Data Mining

What you'll do

  • Analyze structured and unstructured data sources to solve complex client problems.
  • Develop algorithms and systems using various tools and frameworks to provide objective answers.
  • Create predictive data models and perform quantitative analyses on targeted data sources.
  • Perform data exploration, mining, cleaning, and visualization to uncover hidden insights.
  • Apply machine learning, AI, and Natural Language Processing (NLP) techniques to diverse datasets.
  • Translate complex data findings into actionable information for informed client decision-making.
  • Use programming languages like Python, R, or SQL to conduct deep data analysis.

What we're looking for

  • Experience with statistical and general-purpose programming languages such as R, Perl, Python, SAS, or SPSS.
  • Experience with data exploration, mining, cleaning, analysis, visualization, machine learning, statistics, graph algorithms, or AI.
  • Knowledge of machine learning, AI, Natural Language Processing (NLP), or text mining techniques.
  • Ability to analyze structured and unstructured data sources and develop predictive data models.
  • Ability to obtain a Secret clearance.
  • 2+ years of experience in algorithm development leveraging R, Python, SQL, or NoSQL (preferred).
  • 2+ years of experience with distributed data tools like Hadoop, Spark, or Kafka (preferred).
  • Bachelor’s degree.

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