Senior Data Scientist

About the Role

Key Responsibilities

• Develop machine learning, data mining, statistical, and graph-based algorithms to analyze and make sense of data sets.
• Produce data visualizations that provide insight into dataset structures and meaning.
• Translate mission customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
• Develop and implement statistical, machine, learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
• Develop feature vectors for input into machine learning algorithms.
• Evaluate and validate the performance of analytics using standard techniques and metrics and oversee development of individual analytic development efforts guiding them toward solutions that can scale to large datasets.
• Work in close partnership with subject matter experts, software engineers, and cloud developers to guide the formulation of analytics from prototype to production.
• Understand emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions.

Requirements

• Must have a Bachelor of Science in a quantitative discipline such as statistics, mathematics, or a Computer Science degree. Master's Degree or Doctoral Degree may be substituted for some experience.
• Ten (10) years' experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (R, Python, SAS, MATLAB).
• Experience with Windows server management and Power BI Report Service.
• Proficiency with Python/Jupyter Notebooks, SQL and relational databases, ElasticSearch/Kibana.
• Background working with analyst teams including conducting data analysis and creating data visualizations. Experience with graph analytics, data pipelines, and IP-based network data is a plus, but not required.
• 5+ years of experience working within a cybersecurity mission environment using tools and capabilities to generate threat intelligence.
• 5+ years of experience implementing best practices for knowledge management and applying techniques to create automated solutions in support of the cybersecurity analytic mission.
• U.S. Citizenship
• Active TS/SCI security clearance with polygraph

Nice to Have

• Experience with graph analytics, data pipelines, and IP-based network data.

Qualifications

• Bachelor of Science in a quantitative discipline such as statistics, mathematics, or a Computer Science degree
• Master's Degree or Doctoral Degree may be substituted for some experience

Benefits & Perks

• Medical, dental, vision coverage
• Paid time off
• 401(k)
• Life insurance
• Flexible work schedules
• Holidays