Senior Data Scientist – DoD Supply Chain

Knowesis; Washington (District of Columbia); Hybrid; USD 128,000 - 170,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Short-Term Disability

Long-Term Disability

Basic Life Insurance

401k Company Match

Voluntary Benefits

Job summary

Knowesis is seeking a Senior Data Scientist for a DoD medical supply chain resilience program in the National Capital Region. Hybrid work with 3 days onsite per week; active Secret clearance and US citizenship required.

The role focuses on mining diverse datasets, building predictive models, and delivering dashboards and data-driven recommendations to government decision-makers to strengthen pharmaceutical and medical materiel readiness.

Qualifications

• Master's degree in quantitative field; BA with 4 years experience may substitute.
• 7+ years in data science/operations research/advanced analytics with DoD or federal programs.
• Proficiency in Python and/or R, SQL, and dashboard tools (Power BI/Tableau/Qlik).
• Experience with predictive modeling, risk scoring, and network/optimization analysis.
• Experience mining and fusing large multi-source datasets.

Responsibilities

• Mine and fuse large multi-source datasets to characterize pharmaceutical and medical materiel supply chains.
• Develop technical profiles of key products and suppliers to identify risks to availability and readiness.
• Help the government rapidly identify vendors and partnership opportunities.
• Build and maintain predictive models and vulnerability algorithms with diverse risk vectors.
• Formulate data-driven risk-scoring methodologies for suppliers and manufacturers.
• Design, build, and maintain analytical dashboards for leadership.

Skills

SQL

R

Python

Operations Research

Predictive Modeling

Data Visualization

Communication

DoD/Federal Experience

Education

Master's degree in quantitative field

Tools

Power BI

Tableau

Qlik

Job description

Position: Senior Data Scientist – DoD Supply Chain

Location: National Capital Region (Washington, DC area)

Work Environment: Hybrid, 3 days onsite/week

Clearance Required: Active Secret security clearance; US citizenship required

Status: Contingent upon contract award

Salary Range: $128,000 - $170,000 annually

The Senior Data Scientist applies data science and operations research methods to a Department of Defense (DoD) medical supply chain resilience program. The work helps the DoD anticipate and prevent disruptions in the pharmaceutical and medical materiel supply chain, and it directly supports warfighter survivability and medical readiness. This position mines commercial, federal, and open data sources to characterize and visualize supply chain risk. It builds predictive models and analytical dashboards and delivers data-driven recommendations to government decision-makers.

The Job Duties and Responsibilities include but are not limited to the following:

• Mine and fuse large multi-source datasets (commercial, federal, open source) to characterize pharmaceutical and medical materiel supply chains, including sources, relationships, and dependencies


• Develop technical profiles of key products and suppliers that identify risks to product availability and readiness


• Help the government rapidly identify vendors and partnership opportunities


• Build and maintain predictive models and vulnerability algorithms that integrate geopolitical, financial, regulatory, and environmental risk vectors


• Formulate data-driven risk-scoring methodologies for key suppliers and manufacturers


• Design, build, and maintain analytical dashboards that make supply chain risk visible and actionable for program leadership


• Apply ORSA and data science methods to forecast pharmaceutical shortages and supply chain failures before they occur


• Support studies, modeling and simulation scenarios, tabletop exercises, and surveys with quantitative and qualitative research methods

Required Qualifications:

• Master's degree in operations research, data science, statistics, applied mathematics, industrial engineering, or a related quantitative field; a Bachelor's degree with four (4) additional years of experience may substitute


• Minimum of seven (7) years of professional experience in data science, operations research, or advanced analytics, including experience supporting DoD or federal programs


• Proficiency in Python and/or R, SQL, and dashboard tools such as Power BI, Tableau, or Qlik


• Demonstrated experience with predictive modeling, risk scoring, and network/optimization analysis


• Experience mining and fusing large multi-source datasets (commercial, federal, open source)


• Excellent written and verbal communication skills, including the ability to brief senior government stakeholders


• US citizenship and an active Secret security clearance

Preferred Qualifications:

• Military or DoD ORSA experience, or INFORMS Certified Analytics Professional (CAP) certification


• Familiarity with pharmaceutical supply chain data, such as drug shortage, serialization, and trade/customs data


• Experience with supply chain illumination platforms and geospatial analysis

Benefits:

• Health (PPO & HDHP) Insurance, Dental, Vision, STD & LTD, Basic Life Insurance, 401k Company Match, & Voluntary Products.

Knowesis is committed to providing equal employment opportunities to all individuals based on merit and qualifications. We prohibit discrimination in all aspects of employment as required by Title VII of the Civil Rights Act and other applicable federal laws. Our company values all applicants and employees and fosters a work environment where everyone is treated with respect and dignity.