Sustainment Data Scientist

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: San Diego, CA
Employment: Full-time
Posted: 34 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 structured and unstructured data 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, mining, and visualization to create predictive data models and quantitative analyses. The position requires proficiency in statistical and general-purpose programming languages including R and Python, along with knowledge of Machine Learning, Artificial Intelligence, and Natural Language Processing. You will apply these skills to solve technical problems involving IoT and large datasets. Candidates should possess a Bachelor’s degree and a Secret clearance to support these data-driven initiatives.

Skills

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

What you'll do

Analyze structured and unstructured data sets to solve complex global challenges.
Develop algorithms and systems to turn disparate data points into objective answers.
Perform data exploration, cleaning, and mining to identify key information.
Create predictive data models and perform quantitative analyses.
Build data visualizations to help clients make informed decisions.
Apply machine learning, artificial intelligence, and natural language processing techniques.
Provide clients with a deep understanding of data meaning and practical applications.

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, including R or Python.
Experience analyzing structured or unstructured data sources.
Experience developing predictive data models, quantitative analyses, or visualization of targeted data sources.
Knowledge of Machine Learning, Artificial Intelligence, Natural Language Processing, or text mining techniques.
2+ years of experience in algorithm development leveraging R, Python, or SQL/NoSQL (preferred); 2+ years of experience with reliability and maintenance metrics (preferred); Master’s degree (preferred).
Secret clearance.

2+ yrs exp

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Data Scientist

Booz Allen Hamilton

San Diego, CA 24 days ago

Machine Learning Artificial Intelligence Natural Language Processing Python R SQL NoSQL Spark Hadoop Kafka Hive EMR MapReduce Gurobi MySQL Plotly Seaborn ggplot2 Data Visualization Data Mining

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