Analytica

Data Scientist

• Develop, train, and operationalize advanced analytics and machine learning models supporting insider threat detection
• Includes behavior based risk scoring, anomaly detection, and case prioritization models
• Perform complex analytics on large, diverse datasets (near real time and archived logs) to identify subtle or emerging indicators of threat behavior
• Validate models using operational data and collaborate with analysts and engineers to translate behavioral hypotheses into scalable, deployable algorithms
• Support predictive analytics activities, including identification of patterns, trends, and long term behavioral signals
• Support documentation and reporting requirements, integrating analytical outputs into dashboards and operational workflows

Senior Data Scientist

Product Manager

• Regularly interface with clients at numerous levels of an organization—project managers, stakeholders, end-users, data owners, analysts, IT groups, management, and executives—to drive the delivery of data management and governance products
• Own and prioritize the backlog for data product rollouts; convert business outcomes into epics, user stories, and clear acceptance criteria.
• Lead requirements gathering via stakeholder interviews, workshops, and process mapping; reconcile competing needs and set release priorities.
• Define end‑to‑end test scenarios (UAT) for metadata ingestion, lineage, search, glossary/stewardship workflows, coordinate test execution and defect triage.
• Partner with data engineering/architecture to design connectors, curation pipelines, and governance workflows that are scalable, secure, and compliant.
• Drive change management and training; track adoption KPIs (catalog coverage, active users, glossary completeness, steward SLAs) and report progress to sponsors.

Data Product Owner

Software Engineer

• Lead the design, development, and operation of enterprise online applications using J2EE platforms
• Design and maintain HBase and enterprise database solutions supporting high-volume healthcare and provider records
• Develop and manage electronic file interfaces (EFI) for secure inbound and outbound data exchanges
• Implement system integrations across CMS and external partner systems
• Apply CMS SDLC methodologies, CMS IT Infrastructure Framework, and CMS Technical Reference Model (TRM) standards
• Support operations in multi-platform, multi-tool environments, including troubleshooting and performance optimization
• Ensure systems meet CMS quality standards, federal technical requirements, and contract deliverables
• Plan, direct, and supervise technical work performed under the contract
• Collaborate frequently with CMS technical staff to align technical approaches and resolve issues

Senior Data Scientist

Data Product Owner

Lead Developer