Senior Data Scientist – Defense Industrial Base (DIB) & Manufacturing Analytics
Company websiteact1federal.com (ACT1 Federal, opens in new tab)
Base salary $170K to $200K
Employer-published annual base salary, USD. Advertised base range in Arlington, VA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationArlington, VA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
Position Title: Senior Data Scientist – Defense Industrial Base (DIB) & Manufacturing Analytics
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 Senior Data Scientist – Defense Industrial Base (DIB) & Manufacturing Analytics 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.
- 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.
TASC Team Integration and Decision Support
- 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.
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.
Benefits:
- Medical/Dental/Vision Insurance
- ACT1 Employee Stock Ownership Plan (ESOP)
- Company Paid Life and AD&D Insurance
- Company Paid Short-Term Disability
- Voluntary Long-Term Disability
- Flexible Spending Accounts (FSA)
- Health Savings Account (HSA)
- 401K with employer match
- Paid Time Off
- Paid Holidays
- Parental Leave
- Military Leave
- Education, Training & Professional Development
- Voluntary Accidental Injury/Critical Illness/Hospital Care
- Voluntary Pet Insurance, Legal Resources, and Identity Protection
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
- If this position is listed as remote or hybrid, you’ll periodically work from a ACT1 Federal or client site facility.
- If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
Source: ACT1 Federal on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($170,000) is above 61% of the 347 Data & ML roles in Virginia listed on this site; 1 other lists the same floor. Their median floor is $150,000; the middle half runs from $120,000 to $182,500.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingSenior Data Scientist – Defense Industrial Base (DIB) & Manufacturing Analytics$170K to $200K
Systems Engineer (Advanced Manufacturing and Compute)$170K to $200K
Congressional and Legislative Principal$170K to $185K
Senior Business and Economics Principal (Infrastructure and Energy)$170K to $210K
Director of Supplier Development and Production Acceleration$180K to $200K
Senior Program Analyst (Infrastructure and Energy)$160K to $190K
Senior Data & Analytics Engineer$180K to $210K
Chart as a table
| Role | Published base |
|---|---|
| Senior Data Scientist – Defense Industrial Base (DIB) & Manufacturing Analytics (this listing) | $170K - $200K |
| Systems Engineer (Advanced Manufacturing and Compute) | $170K - $200K |
| Congressional and Legislative Principal | $170K - $185K |
| Senior Business and Economics Principal (Infrastructure and Energy) | $170K - $210K |
| Director of Supplier Development and Production Acceleration | $180K - $200K |
| Senior Program Analyst (Infrastructure and Energy) | $160K - $190K |
| Senior Data & Analytics Engineer | $180K - $210K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- fields changed
- Observed since
- Employer-stated posting date
- 2026-09-21
Where this pay comes from
Location as the employer wrote it: Arlington, VA
Salary: $170,000 - $200,000
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
