About this opportunity
Peraton lists this Senior Data Scientist - Operational Analytics opportunity in herndon, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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
Qualifications
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
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
Target Salary Range
$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.
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Worksite address
herndon, VA, 22070, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.