Data Scientist

Responsibilities

• Apply two or more core data science skill areas, including: Mathematical, computational, and statistical foundations
• Data processing, management, curation, visualization, and reproducible analytic workflows
• Data modeling, inference, prediction, and domain-specific analysis
• Compile, integrate, and manage data from multiple sources using computer scripting, APIs, and analytic tools
• Develop and apply statistical analyses, data models, and quantitative methods to explore, assess, and characterize large and complex datasets
• Design and build rapid analytic prototypes to generate metrics and insights, including performance metrics for sensor or system data
• Develop reproducible data analysis workflows using Python and common data science tools (e.g., Jupyter notebooks, Pandas)
• Interact with APIs and existing tools to retrieve, process, and analyze data; develop or extend tools as needed to support analytics
• Translate mission or operational questions into technical and analytic requirements and corresponding analytic approaches
• Audit and recommend analytic techniques, tools, and technical solutions based on evolving data collection, processing, storage, and analytics capabilities and constraints
• Collaborate with multidisciplinary teams to support data-driven decision-making in mission environments

Requirements

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative discipline (or equivalent experience)
• Minimum of three (3) years of relevant data analysis or data science experience
• Experience with data compilation and integration from multiple sources using scripting and APIs
• Experience applying statistical analysis and data modeling techniques
• Proficiency in Python for data analysis, including use of Jupyter notebooks and Pandas
• Experience developing rapid analytic prototypes and performance metrics

Security Clearance

A current government clearance, background investigation, and polygraph are required.

Benefits

Comprehensive benefits including but not limited to: healthcare, wellness, financial, retirement, education, and time off benefits.