Senior Data Scientist - Operational Analytics
Senior
Analytics
Artificial Intelligence
Big Data
Business Analytics
Business Intelligence
Data
Data Analysis
Data Analytics
Data Architecture
Data Governance
Data Integration
Data Lake
Data Pipeline
Data Platform
Data Processing
Data Science
Data Visualization
Data Warehouse
Database
Databases
Operational Analysis
Power BI
Reporting and Analytics
SQL
Job Description
Peraton invites you to contribute as a Senior Data Scientist for Operational Analytics in an onsite role in Herndon, Virginia. You will support the BNATCS CTO Advanced Analytics and Digital Command Center, turning workstream and program data into actionable metrics, dashboards, and analytics products that advance FAA modernization. The position offers a salary range of USD 104,000 to 166,000 per year, along with a benefits package designed to support your health, finances, and work-life balance.
Benefits
- Medical
- Dental
- Vision
- Life insurance
- Health savings account
- Short-term disability
- Long-term disability
- Employee Assistance Program (EAP)
- Parental leave
- 401(k)
- Paid time off (PTO) for vacation
- Company paid holidays
Responsibilities
- 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 in 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
Requirements
- 8+ years of experience with a BS/BA, 6+ years with a MS/MA, or 3+ with 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
- US Citizenship and the ability to obtain an FAA Public Trust clearance
Technologies
- Python
- R
- SQL
- AWS
- AWS Glue
- AWS Athena
- AWS Redshift
- AWS SageMaker
- Databricks
- Snowflake
- Tableau
- Power BI
- Grafana
- Plotly
- Dash
- Streamlit
- Superset
- Qlik
- JSON
- Parquet
- APIs
- LLMs
- agentic AI systems
- RAG
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