Sustainment Data Scientist

About the Role

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research to national intelligence, we need you to help find the answers in the data. On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

Key Responsibilities

• Analyze structured or unstructured data sources
• Develop predictive data models, quantitative analyses, or visualization of targeted data sources

Requirements & Tech Stack

• 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
• Secret clearance

Qualifications

• Bachelor’s degree

Nice to Have

• Experience in the development of algorithms leveraging 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

Projected Compensation Range: $48,100.00 to $98,000.00 (annualized USD)