Sustainment Data Scientist

Booz Allen Hamilton

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Quick summary

Work type: On-site
Location: San Diego, CA
Employment: Full-time
Posted: 10 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 $181k

$118k $236k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $147,540–$214,000.

Based on 240 similar postings.

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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 · Sustainment Data Scientist

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The Sustainment Data Scientist joins a team dedicated to transforming complex, disparate data sets into objective answers for informed decision-making. 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, cleaning, analysis, and mining on both structured and unstructured sources to build predictive data models and quantitative analyses. The position requires proficiency in statistical and general-purpose programming languages like R and Python, alongside knowledge of Machine Learning, Artificial Intelligence, and Natural Language Processing. You will apply these skills to solve technical problems, potentially involving reliability block diagrams, fault tree analyses, and maintenance metrics like MTBF and MTTR for various surface ship platforms and combat system elements.

Skills

Python R SQL NoSQL Machine Learning Artificial Intelligence Natural Language Processing Data Mining Data Visualization Data Analysis Text Mining IoT FMECA Reliability Block Diagrams LORA

What you'll do

Analyze structured and unstructured data sources to identify key information.
Develop algorithms and systems to turn disparate data points into objective answers.
Build predictive data models and perform quantitative analyses.
Create data visualizations to help clients make informed decisions.
Perform data exploration, cleaning, and mining to uncover hidden insights.
Apply machine learning, artificial intelligence, and natural language processing techniques.
Translate complex data sets into actionable information for client needs.

What we're looking for

Knowledge of data exploration, cleaning, analysis, visualization, or mining.
Knowledge of statistical and general-purpose programming languages for data analysis, including R or Python.
Knowledge of Machine Learning, Artificial Intelligence, Natural Language Processing, or text mining techniques.
Ability to analyze structured or unstructured data sources.
Ability to develop predictive data models, quantitative analyses, or visualization of targeted data sources.
Ability to obtain a Secret clearance.
Experience in algorithm development, reliability engineering, or maritime systems (preferred); Master’s degree (preferred).

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