Sustainment Data Scientist

Booz Allen Hamilton • San Diego, CA

6d

About The Position

As a data scientist at Booz Allen, you will work with clients to understand their questions and needs, explore data-rich environments, and turn complex structured and unstructured data into useful information. You will develop algorithms and systems and use appropriate tools and frameworks to transform disparate data into objective answers that support informed decisions. The role applies data science to real-world challenges and may involve IoT, machine learning, and artificial intelligence.

Applicants must have a Secret clearance and a bachelor’s degree. The position offers a projected annualized compensation range of $48,100 to $98,000, determined by factors such as location, education, skills, experience, and organizational requirements. Booz Allen describes its compensation package as including benefits and other offerings; full-time and part-time employees regularly working at least 20 hours per week are eligible for its benefit programs, subject to the stated limitations.

The posting notes that candidates may need to meet eligibility requirements for access to classified information. Candidates are expected to be on camera during interviews and assessments and may be asked to complete identity verification using biometrics and artificial intelligence. Use of AI or other tools to assist with interview responses is prohibited unless explicitly permitted. The work model is not specified for this position; Booz Allen’s general guidance explains expectations for remote, hybrid, and onsite roles.

Requirements

• Knowledge of data exploration, data cleaning, data analysis, data visualization, or data mining.
• Knowledge of statistical and general-purpose programming languages for data analysis, including R or Python.
• Knowledge of machine learning, artificial intelligence, or natural language processing.
• Knowledge of text mining or machine learning techniques.
• Ability to analyze structured or unstructured data sources.
• Ability to develop predictive data models, quantitative analyses, or visualizations of targeted data sources.
• Secret clearance.
• Bachelor’s degree.

Nice To Haves

• Experience developing algorithms using R, Python, or SQL/NoSQL.
• Experience with Reliability Block Diagrams, Fault Tree Analyses, Failure Modes Effectiveness and Corrective Action (FMECA), and Level of Repair Analyses (LORA).
• Experience with Mean Time Between Failures (MTBF), Mean Time to Repair (MTTR), and Mean Logistics Delay Time (MLDT).
• Experience with Littoral Combat Ship, AEGIS, US Coast Guard, FFG, and various surface ship platforms and combat system elements.
• Master’s degree.

Responsibilities

• Work with clients to understand their questions and needs.
• Explore client data-rich environments and identify useful information in complex datasets.
• Develop algorithms and systems to turn disparate data points into objective answers.
• Use appropriate tools and frameworks to support informed client decisions.
• Analyze structured or unstructured data and develop predictive models, quantitative analyses, or visualizations.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time