Data Scientist

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: San Diego, CA
Employment: Full-time
Posted: 28 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 $166k

$97k $233k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$204,800.

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

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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 develop algorithms and systems. Your daily responsibilities include data exploration, cleaning, analysis, visualization, and mining to provide deep insights for informed decision-making. You will utilize scripting languages like Python and R, along with SQL/NoSQL, and leverage frameworks such as Pandas, Spark, AWS, and Databricks. The role requires expertise in machine learning, artificial intelligence, natural language processing, and prompt engineering. You will also develop practical learning materials, including hands-on labs and guided walkthroughs, to communicate complex AI concepts to diverse audiences.

What does a Data Scientist earn in California?

Median $214500 from 114 postings across 26 companies.

See salary data

Skills

Python R SQL NoSQL Machine Learning Natural Language Processing AWS Databricks Pandas Spark LLM Generative AI Prompt Engineering APIs Data Mining Data Visualization Distributed Computing Model Context Protocol (MCP)

What you'll do

Analyze structured and unstructured data to solve complex global challenges.
Develop algorithms and systems using various tools and frameworks to provide objective answers.
Perform data exploration, cleaning, analysis, visualization, and mining.
Translate complex data science and AI concepts for both technical and non-technical audiences.
Create practical learning materials such as hands-on labs and guided walkthroughs.
Provide deep insights into data meaning to help clients make informed decisions.
Integrate APIs into AI-enabled workflows and automated processes.

What we're looking for

Ability to obtain a Secret clearance.
Experience with scripting languages such as Python or R.
Experience with data exploration, cleaning, analysis, visualization, or mining.
Experience analyzing structured and unstructured data sources.
Knowledge of machine learning, artificial intelligence, or natural language processing.
Ability to communicate complex data science and AI concepts to technical and non-technical audiences.
Ability to develop structured learning materials like hands-on labs or guided walkthroughs.
2+ years of experience with structured curricula or delivering technical material in professional learning environments (preferred).
2+ years of experience with Machine Learning, AI, or NLP (preferred).
2+ years of experience in the development of algorithms leveraging R, Python, or SQL/NoSQL (preferred).
Experience designing or delivering training content incorporating emerging AI capabilities and best practices (preferred).
Experience integrating APIs in AI-enabled workflows or applications (preferred).
Experience with cloud and distributed computing systems such as AWS and Databricks (preferred).
Knowledge of prompt engineering techniques and managing LLM context windows (preferred).
Knowledge of model context protocol (MCP) concepts (preferred).
Knowledge of data processing frameworks such as Pandas or Spark (preferred).
Master’s degree (preferred).

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