Senior Data Scientist - Operational Analytics

Peraton; Herndon (VA); On-site; USD 104,000 - 166,000; Full time

Job summary

Peraton is seeking a data analyst in Herndon, Virginia. This role involves analyzing workstreams, developing dashboards, and collaborating with data teams to support decision-making.

The ideal candidate has 8+ years of experience in data science or a related field, expertise in Python and SQL, and must be a US Citizen. The position offers a salary range of $104,000 to $166,000.

Qualifications

• 8+ years of experience with a BS/BA, 6+ years with a MS/MA, or 3+ with a PhD in a related technical discipline.
• Experience analyzing complex datasets to support decision-making.
• US Citizenship required.

Responsibilities

• Analyze workstream, requirements, and operational data to identify trends and insights.
• Define operational metrics and analytical logic for dashboards.
• Develop notebooks, scripts, and models to support decision-making.

Skills

Data analysis

Python

SQL

R

Statistical analysis

Predictive modeling

Exploratory data analysis

Education

BS/BA in a related field

MS/MA in a related field

PhD in a related field

Tools

Analytical software

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.