Manufacturing Data Science, AI, and Advanced Analytics SME

ACT1 Federal•Arlington, VA

1d•Hybrid

About The Position

ACT1 Federal is seeking an experienced Manufacturing Data Science, AI, and Advanced Analytics SME who will identify, evaluate, pilot, and govern targeted AI, machine-learning, operations-research, optimization, forecasting, and advanced-analytics applications.

Requirements

Bachelor's degree from an accredited institution in data science, statistics, mathematics, engineering, computer science, operations research, analytics, or a related discipline.
10+ years’ experience in data science, advanced analytics, operations research, AI/machine learning, manufacturing analytics, or a closely related field.
Demonstrated experience applying quantitative analysis to complex manufacturing, production, supply-chain, industrial-base, or defense problems.
Experience with predictive models, forecasts, dashboards, performance indicators, statistical analyses, or optimization tools using complex operational data.
Ability to evaluate data quality and analytical limitations and translate technical findings into practical recommendations tied to measurable production outcomes.
Experience preparing analytical assessments, visualizations, executive briefings, and executive decision materials for Government or industry leadership.
Active Top Secret Clearance required.

Responsibilities

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.
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.
Develop scenario, sensitivity, trend, and predictive analyses to illuminate tradeoffs, dependencies, likely bottlenecks, and potential consequences of alternative courses of action.
Support data reviews, technical working sessions, and analytical engagements with program offices, production facilities, prime contractors, suppliers, and other authorized stakeholders.
Serve as the senior data science, AI, and advanced analytics advisor to the TASC team for assigned PAE and weapon-system priorities.
Integrate analytical findings with production, schedule, supplier, engineering, quality, investment, and program data to develop executable courses of action.
Coordinate analytical requirements and findings across DASN DIB, PAEs, program offices, systems commands, engineering, cybersecurity, contracting, financial management, production facilities, and industry stakeholders.
Prepare dashboards, analytical assessments, forecasts, issue papers, decision briefings, action plans, and recommendations for senior Government leadership.