Data Scientist

Senior Data Scientist -- Asset Maintenance \& Predictive Analytics

Location

Norfolk, VA (Tidewater area)

Salary

$113,000 -- $188,000 USD annually (Final offer depends on candidate skills, experience, security clearance level, and certifications)

Job Type

Full-Time / Hybrid (3--4 days per week on-site in Norfolk, VA / up to 10% travel)

Overview

A Senior Data Scientist is required to support defense asset and material maintenance analytics initiatives. Working within a specialized data science consulting team, this role focuses on data extraction, ETL processing, interactive visualization development, and predictive modeling for operational assets, supply streams, and maintenance policy datasets. The position involves collaborating with workstream leads to execute analytical tasks, build machine learning models, and deploy business automation solutions for public sector military clients.

Key Responsibilities

• Execute data extraction, cleaning, transformation (ETL), and validation tasks across diverse asset management, maintenance, and policy datasets.
• Design, build, and maintain dynamic data visualizations, performance dashboards, and executive reporting products.
• Build predictive analytics models, statistical impact analyses, and machine learning algorithms to optimize material maintenance and inventory workflows.
• Collaborate closely with workstream leads and client stakeholders to translate complex data findings into actionable operational outputs.
• Assist in implementing AI, robotic process automation (RPA), and business process automation solutions for defense operations.
• Support workstream tasking, metric tracking, and delivery of customer briefings within matrixed project environments.

Requirements

Basic Qualifications:

• Active and maintained Federal/DoD Secret Security Clearance.
• Bachelor's Degree from an accredited institution.
• Minimum of three (3) years of specialized professional experience in data analysis, data science, or business analytics.
• Hands-on programming proficiency in Python or R.
• Demonstrated experience building enterprise dashboards using business intelligence tools (Tableau, Power BI, or Qlik).
• Ability to work on-site at client facilities in Norfolk, VA (Tidewater area) 3 to 4 days per week.

Preferred Qualifications:

• Experience building data pipelines and processing scripts using Databricks or Palantir Foundry.
• Experience implementing automation tools (UiPath, Microsoft Power Automate, Power Apps).
• Familiarity with military supply chain, naval maintenance programs, or defense logistics data systems.
• Strong background in statistical modeling, regression analysis, geographic analytics, and simulation techniques.

Benefits

• Total rewards package featuring competitive base salary and discretionary variable performance bonus potential.
• Comprehensive health coverage (Medical, Prescription, Dental, and Vision insurance).
• 401(k) retirement plan with employer matching contributions.
• Paid parental leave, adoption assistance, and paid time off (PTO/holidays/sick leave).
• Student loan payoff program, tuition reimbursement, and professional certification funding.
• Health Savings Accounts (HSA), Flexible Spending Accounts (FSA), mobility stipends, and emergency backup childcare options.