This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist (Risk Chain Management) in District of Columbia (USA).
As a Data Scientist supporting supply chain risk management initiatives, you will analyze complex datasets to provide actionable insights that enhance decision-making and operational efficiency. You will design and implement data-driven solutions using statistical methods, predictive modeling, and machine learning to identify potential risks and optimize supply chain performance. Collaborating closely with cross-functional teams, you will develop dashboards, reports, and visualizations for technical and non-technical stakeholders. This role involves working in hybrid and remote environments with periodic travel, requiring self-motivation and proactive problem-solving. You will contribute directly to projects with significant operational and strategic impact, supporting critical mission objectives. The position provides an opportunity to work on high-profile programs, integrating cutting-edge analytics to improve defense readiness and efficiency.
Accountabilities:
• Develop and implement data science solutions to analyze large and complex supply chain datasets.
• Apply statistical, predictive modeling, and machine learning techniques to identify trends, anomalies, and risks.
• Query, manipulate, and analyze structured and unstructured data using SQL, NoSQL, Hive, or similar tools.
• Collaborate with analysts, data engineers, product owners, and subject matter experts to deliver mission-critical solutions.
• Build visualizations, dashboards, and reports to communicate findings effectively to technical and non-technical audiences.
• Contribute to program, analytical, and acquisition management support for senior leadership.
• Assist in drafting information for internal and external stakeholders, including Congressional inquiries, as needed.
Requirements
• U.S. citizenship and ability to obtain/maintain/transfer an active DoD Secret security clearance.
• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related field with 5+ years of hands-on experience, OR a Master’s degree with 3+ years of experience.
• Strong proficiency in Python and data science libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.
• Experience querying and analyzing data from SQL and/or NoSQL databases.
• Knowledge of developing and implementing machine learning and predictive modeling solutions.
• Experience presenting data insights via dashboards, reports, or briefings to diverse stakeholders.
• Familiarity with supply chain management, logistics, or risk analysis preferred.
• Experience with big data tools (Hadoop, Spark, Hive) and government contracting/defense projects is a plus.
• Strong communication, problem-solving, and self-management skills, especially in remote/hybrid settings.
• Willingness to travel up to 10% as needed.
Benefits
• Competitive salary with performance-based incentives.
• Comprehensive medical, dental, and vision coverage.
• Robust vacation, sick leave, and flexible work arrangements where permitted.
• 401(k) plan with employer match.
- Tuition reimbursement and professional development opportunities.
• Life and disability insurance with optional coverage for pets, home, auto, critical illness, and accident insurance.
• Parental, birth, and adoption leave benefits.
• Employee Assistance Program providing counseling and support services.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
United States
United Kingdom only