Econometrician (Data Scientist 3) - 28593

HII's Mission Technologies division•Alexandria, VA

3d•Onsite

About The Position

This opportunity resides with All-Domain Operations (ADO), a business group within HII’s Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations. HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe. Leadership Mindset at HII – Mission Technologies Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every team member contributes to our mission and culture: Know & Grow Your People – Commit to learning and supporting team success. Build Relationships – Communicate openly, collaborate well, and build trust. Take Ownership – Deliver on commitments and take pride in your work. Customer First – Focus on the mission and those we serve. Shape the Future – Bring ideas, curiosity, and continuous improvement. Act with Urgency – Take initiative and follow through with purpose. These capabilities guide how all employees contribute to our shared success across Mission Technologies. Job Description HII Mission Technologies has been selected as one of Military.com's "Top 25 Employers for Veterans in 2024" and we are a Forbes Best Large Employer for 2023!!! Are you ready to take your career to the next level? We are seeking talented and motivated Professionals to join our team! Position Summary: HII: Mission Technologies is seeking a highly skilled Econometrician to support our work with the Defnese Logistics Agency for Legacy Model Modernization & Critical Materials Prioritization. We are seeking an Econometrician with deep expertise in econometric modeling, linear programming, and legacy code modernization. This individual will lead DLA‑SM’s analytical efforts to develop government‑wide priorities for critical material risk mitigation while also modernizing a Fortran‑based econometric model currently maintained on a mainframe at IDA (Institute for Denfense Analyses.) The ideal candidate combines strong quantitative skills, legacy‑to‑modern code translation experience, and the ability to communicate complex modeling concepts to senior leaders. Come support our work with the Defense Logistics Agency and join a world class team of groundbreaking scientists and engineers! Details below!

Requirements

5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in realted field; 0 years experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience.
Advanced training in econometrics, applied statistics, operations research, or a related quantitative field.
Proficiency in Fortran (any major variant) and strong programming skills in R or Python.
Demonstrated experience analyzing, validating, and modernizing complex econometric or mathematical models.
Familiarity with linear programming, optimization, or risk‑based prioritization frameworks.
Ability to work primarily on‑site at IDA to access mainframe systems.
Active Secret clearance

Nice To Haves

Experience with mainframe computing environments.
Background in critical materials, supply chain risk, or defense logistics.
Experience supporting federal agencies or federally funded research centers.
Strong communication skills with the ability to translate technical modeling into decision‑ready insights.

Responsibilities

Conduct an in-depth review of an existing Fortran-based econometric model (Fortran 77, Fortran 90+, or similar) to understand its structure, logic, and computational methods.
Assess whether the model’s calculations are correct, statistically sound, and aligned with DLA and Department of Defense priorities.
Translate the Fortran model into a modern language such as R or Python, ensuring functional equivalence and improved maintainability.
Work primarily on‑site at IDA to access and interact with the mainframe environment where the model currently runs.
Produce clear, comprehensive documentation of both the legacy system and the modernized version.
Lead Econometric Modeling for DLA‑SM’s efforts to develop government‑wide priorities for critical material risk mitigation.
Serve as the authoritative source for inputs, assumptions, and methodological decisions used in econometric modeling aimed at prioritizing critical material risk.
Ensure data readiness by confirming that all datasets used in econometric and linear programming models are formatted and structured for mathematical modeling.
Support IDA by aiding in data sourcing, cleaning, and formatting to ensure consistency and usability.
Conduct deep dives into existing mathematical components, model assumptions, and statistical methods to ensure accuracy, coherence, and alignment with DLA and DOW priorities.
Deliver clear oral and written explanations of econometric modeling approaches, assumptions, and outputs to senior leaders, technical peers, and as part of the Biennial Requirements Report.
Offer subject matter expertise for a limited portfolio of critical materials as needed.