Sustainment Data Scientist

Booz Allen Hamilton • San Diego, CA

8d • $48,100 - $98,000

About The Position

As a data scientist at Booz Allen, you will analyze complex, structured and unstructured data to help clients answer questions and make informed decisions. You will work closely with clients to understand their needs, explore data-rich environments, and develop algorithms and systems using appropriate tools and frameworks to turn disparate data into useful insights. The role applies data science to real-world challenges, including work involving IoT, machine learning, and artificial intelligence.

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 data needs.
• Explore and analyze structured and unstructured data.
• Develop algorithms and systems to transform disparate data into useful information.
• Use suitable tools and frameworks to generate objective answers and support informed client decisions.
• Communicate what the data means and how it can be used.

Benefits

• Health, life, disability, 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