Data Scientist Operational Analytics

Peraton Labs is seeking a Data Scientist to support the BNATCS CTO Advanced Analytics and Digital Command Center teams by transforming complex workstream program schedule requirements and operational data into trusted metrics analytical insights and decision-support products.

This role will support the analytics foundation behind the Digital Command Center (DCC) by helping interpret model visualize and operationalize complex workstream data. You will work closely with CTO leadership and mission stakeholders to transform raw and evolving program data into actionable insights dashboards metrics and analytics products that support FAA modernization objectives.

The ideal candidate for this role brings strong analytical judgment cognitive flexibility hands-on comfort with data and the ability to understand both the technical structure of data and the operational meaning behind it. Candidates for this role should be able to analyze reason and communicate well enough to contribute to analytics workflows dashboard logic data validation and integration activities supporting the consolidated data environment that feeds the programs agentic AI engine.

Experience with FAA NAS Aviation air traffic operations transportation safety-critical systems or large-scale modernization data is highly relevant to this position.

Key responsibilities may include but are not limited to:

• Analyze workstream requirements IMS schedule risk operational and program data to identify trends dependencies gaps anomalies and decision-relevant insights
• Define operational metrics KPIs analytical logic thresholds and decision-support views for Digital Command Center dashboards and advanced analytics products
• Assess the quality completeness consistency and usability of data made available through enterprise data repositories
• Partner with data architects and data engineers to identify data gaps transformation needs metadata requirements and analytics-readiness issues
• Support ai-enabled analytics workflows by helping define trusted data inputs context validation criteria and human-in-the-loop review considerations
• Develop notebooks scripts SQL queries statistical analyses models and reusable analytical artifacts to support data exploration and decision-making
• Translate ambiguous operational questions into structured analysis measurable metrics and clear recommendations
• Communicate assumptions limitations findings and implications to technical teams program leadership and mission stakeholders

Required Qualifications

• 5 years of experience with a BS/BA 3 years with a MS/MA or a PhD in Data Science Computer Science Statistics Mathematics Engineering Operations Research Information Systems Analytics or a related technical discipline
• Experience analyzing complex structured semi-structured operational program or business datasets to support decision-making
• Proficiency with Python R SQL or similar analytical tools with the ability to develop notebooks scripts queries and reusable analysis artifacts
• Experience with exploratory data analysis data cleaning statistical analysis trend analysis anomaly detection forecasting classification clustering or predictive modeling
• Experience defining or supporting metrics KPIs dashboards reports or decision-support products
• Ability to assess data quality completeness consistency and analytical usefulness
• Ability to translate ambiguous operational and stakeholder questions into structured analyses and measurable outputs
• Ability to vet and validate analytic products developed with Agentic AI
• Strong communication skills with the ability to communicate clearly with a variety of technical and program stakeholders
• US Citizenship with ability to obtain/maintain an FAA Public Trust

Desired Additional Qualifications

• Experience supporting FAA aviation NAS air traffic management transportation defense logistics infrastructure command center risk or other complex operational environments
• Experience with cloud-based data environments especially AWS Glue Athena Redshift SageMaker Databricks Snowflake or similar
• Experience working with data lakes data warehouses lakehouse environments or multi-source data integration environments
• Experience with dashboarding or visualization tools such as Tableau Power BI Grafana Plotly Dash Streamlit Superset Qlik or similar platforms
• Familiarity with LLMs agentic AI systems retrieval-augmented generation (RAG) prompt/context engineering AI-enabled workflows or model/output evaluation
• Experience supporting human-in-the-loop analytics AI output validation data quality frameworks or decision-support governance
• Experience working with requirements data schedule data risk data dependency data operational performance data or program execution data
• Familiarity with APIs JSON Parquet data pipelines ETL/ELT concepts metadata lineage or data governance concepts
• Experience contributing lightweight code to dashboards data workflows APIs or analytics applications

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the worlds leading mission capability integrator and transformative enterprise IT provider we deliver trusted highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land sea space air and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day our employees do the cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.