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Senior Data Scientist - Operational Analytics
Job in
Herndon, Fairfax County, Virginia, 22070, USA
Listed on 2026-05-22
Listing for:
Peraton
Full Time
position Listed on 2026-05-22
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager
Job Description & How to Apply Below
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
Required 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
- Ability to translate ambiguous operational and stakeholder questions into structured analyses and measurable outputs
- US Citizenship
EEO:
Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
#J-18808-LjbffrPosition Requirements
10+ Years
work experience
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