Senior Data Scientist, Operational Analytics & Dashboards

Peraton; Corridor North (MD); On-site; USD 104,000 - 166,000; Full time

Job summary

Peraton is seeking a Senior Data Scientist for Operational Analytics to translate complex workstream data into actionable insights, dashboards, and decision-support products. You will partner with CTO leadership and stakeholders to deliver analytics that support modernization objectives in aviation and air transportation domains.

The role requires advanced analytics, data modeling, and software toolbox expertise to develop notebooks, scripts, and dashboards, while ensuring data quality &

Qualifications

• 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
• US Citizenship and the ability to obtain an FAA Public Trust clearance

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 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

Skills

Python

R

SQL

Data analysis

Dashboards

Statistical modeling

Education

BS/BA in Data Science/related field

MS/MA in Data Science/related field

PhD in a related technical discipline

Tools

AWS Glue

Athena

Redshift

SageMaker

Databricks

Snowflake

Tableau/Power BI

Job description

Peraton is seeking a Senior Data Scientist for Operational Analytics to translate complex workstream data into actionable insights, dashboards, and decision-support products. You will partner with CTO leadership and stakeholders to deliver analytics that support modernization objectives in aviation and air transportation domains.

The role requires advanced analytics, data modeling, and software toolbox expertise to develop notebooks, scripts, and dashboards, while ensuring data quality &