Senior Data Scientist

Responsibilities

• Architect, develop, and maintain advanced analytic models, visualizations, and tools to deter, detect, and mitigate insider threats.
• Apply expert knowledge of industry-standard data science principles to identify anomalous events and provide actionable intelligence.
• Proactively collaborate with project requestors, senior stakeholders, and program managers to define, clarify, and refine complex business needs and strategic objectives.
• Utilize data-driven insights to recommend significant changes and process improvements.
• Lead, manage, and support business operations and policy development lifecycles.
• Serve as an SME for the development, review, coordination, promulgation, and compliance of enterprise-wide policies, including the maintenance of Self-Inspection Checklists and related documentation.
• Own the development and maintenance of sophisticated risk-scoring models and other data analytics tools.
• Drive the implementation and sustainment of data analysis platforms, ensuring system integrity by capturing and analyzing metrics on system errors, failures, and performance.
• Translate complex quantitative and qualitative analysis into clear, compelling visuals, dashboards, and executive-level reports.
• Provide authoritative visual, technical, and editorial guidance, and confidently brief senior leadership on analytical findings, forecasts, and strategic recommendations.
• Oversee the capture, maintenance, and accumulation of statistics, ensuring the accuracy of data related to timelines, product transfers between domains, and other key performance indicators.

Requirements

• 7+ years proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context.
• A Master’s Degree in Data Science, Statistics, Business, or a related field, or 10+ years of experience in lieu of a master’s degree.
• 15+ years of experience in lieu of a bachelor’s degree.
• Expert-level knowledge of data analytics and data science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts.
• Mastery of data visualization and dashboard development using data sets from various sources.
• Exceptional ability to transform complex data sets into compelling visuals, reports, and briefings for leadership.
• Direct experience supporting and maintaining risk-scoring models or similar predictive analytic systems.
• Proficiency in creating and editing visual content such as charts and graphs to represent data.
• Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python.
• Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization.

Qualifications

• Experience in a leadership or mentorship role within a data analytics or business intelligence team.
• Familiarity with geospatial analysis, web development principles, or specific program leadership reporting structures.