Manufacturing Data Science, AI, and Advanced Analytics SME
US$170,000 – US$200,000 / yr base salary
Posted 21 Sep 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 10+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$170,000 – US$200,000 / yr |
|---|
Field of studyAnalytics, Computer Science, Data Science, Engineering, Mathematics, Operations Research, Statistics (or related)
Study levelBachelor's
Position Title: Manufacturing Data Science, AI, and Advanced Analytics SME
Location: Arlington, Virginia
Category: Funded
Schedule (FT/PT): Full Time
Travel Required: N/A
Shift: Day
Remote Type: Hybrid
Clearance required: Top Secret clearance required
Salary: $170,000 - $200,000
Who is ACT1 Federal? ACT1 Federal LLC is a 100% employee-owned company. We’ve served the Department of War (DoW) for nearly thirty years. Our core missions include weapon systems engineering, logistics, space domain expertise, global defense and security, business and financial management for security assistance and major defense articles, as well as military training and arctic security. Join us!
Description: ACT1 Federal is seeking an experienced Manufacturing Data Science, AI, and Advanced Analytics SME will identify, evaluate, pilot, and govern targeted AI, machine-learning, operations-research, optimization, forecasting, and advanced-analytics applications.
Responsibilities:
Manufacturing Data Science and Analytics
- Integrate and analyze production, supplier, schedule, quality, capacity, financial, and program data to identify constraints, trends, dependencies, and emerging risks affecting weapon-system output.
- Develop analytical models, dashboards, forecasts, and leading indicators for throughput, cycle time, lead time, backlog, yield, on-time delivery, supplier performance, and capacity.
- Apply statistical analysis, machine learning, AI, anomaly detection, forecasting, optimization, and other advanced methods where appropriate to support production-recovery and supplier-capacity decisions.
- Assess data quality, completeness, lineage, comparability, access, and analytical limitations; distinguish validated evidence from assumptions, incomplete reporting, and unsupported claims.
Decision Support and Advanced Analytics
- Develop repeatable analytical methods and decision-support products that help TASC prioritize constraints, interventions, investments, supplier actions, and production-recovery initiatives.
- Evaluate proposed interventions and investments using quantitative measures of expected capacity, throughput, schedule, cost, quality, resilience, and mission impact.
- Identify critical data gaps and recommend practical collection, normalization, governance, and validation approaches needed to improve analytical confidence and decision quality.