Data Scientist, Senior

Booz Allen Hamilton•Springfield, VA

1d•Remote

About The Position

As a Data Scientist, you will lead the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. You will serve as a subject matter expert (SME), responsible for the entire lifecycle of data analysis—from refining business requirements and developing sophisticated analytical models to provide strategic recommendations that improve organizational efficiency and mitigate threats. In this role, you’ll leverage a blend of deep technical expertise, strong business acumen, and the ability to lead, manage, and support critical operational and policy-related initiatives.

Requirements

7+ years of experience in integrating, developing, and maintaining analytic models, visualizations, and tools
2+ years of experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker
Experience providing technical and editorial guidance
Experience supporting and maintaining risk-scoring models or predictive analytic systems
Experience in data visualization and dashboard development using data sets from various sources
Ability to lead process improvement initiatives and contribute to the full lifecycle of policy development and business operations
Ability to transform complex data sets into compelling visuals, reports, and briefings for leadership
Active TS/SCI clearance; willingness to take a polygraph exam
Master's degree in a data science, statistics, or business field and 7+ years of experience in a data science, statistics, or business field, or 10+ years of experience in a data science, statistics, or business field in lieu of a degree

Nice To Haves

7+ years of experience in integrating, developing, and maintaining analytic models, visualizations, and tools in a security or threat-detection context preferred
Experience with geospatial analysis, web development principles, or specific program leadership reporting structures
Possession of excellent verbal and written communication skills

Responsibilities

Architect, develop, and maintain advanced analytic models, visualizations, and tools to deter, detect, and mitigate threats.
Apply expert knowledge of industry-standard data science principles to identify anomalous events and provide actionable intelligence.
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.
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.