Data Scientist: Optimization & ML for Resource Allocation

SmartRecruiters, Inc.; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Oteemo is seeking a Data Scientist to design and deploy optimization and ML models that allocate scarce parts across competing programs. You will build algorithms spanning MILP, constraint programming, and ML forecasts, turning constraints into auditable allocation decisions.

You will own the modeling lifecycle from data exploration to production deployment, partnering with stakeholders and engineers to deliver scalable services and clear tradeoffs.

Qualifications

• Master’s or PhD in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering, or a related quantitative field (or equivalent practical experience).
• 6+ years of experience building optimization and/or ML models for resource allocation, scheduling, or supply chain problems.
• Deep hands-on experience with optimization solvers (Gurobi, CPLEX, OR-Tools) and formulating MILP/constraint optimization problems.
• Strong Python skills, with experience in ML frameworks (scikit-learn, PyTorch) and data manipulation libraries (pandas, NumPy).
• Experience working with messy, real-world supply chain, inventory, or program data.
• Excellent communication skills; comfortable presenting complex tradeoffs to program and business stakeholders.

Responsibilities

• Design and implement optimization models (e.g., MILP/constraint programming) for allocating scarce parts and resources across programs.
• Develop ML models to forecast demand, supply risk, and part availability; feed forecasts into allocation logic.
• Translate competing program priorities into formal objectives and constraints.
• Validate model outputs against historical decisions and stakeholder expectations.
• Build data pipelines to keep models current with live inventory, demand, and program data.
• Present modeling tradeoffs and recommendations to non-technical stakeholders.
• Mentor junior data scientists on optimization techniques and modeling best practices.
• Partner with software engineers to productionize models as scalable services.

Skills

Python

ML frameworks

Pandas/NumPy

Education

MSc/PhD in OR/Math/CS/IE

Quantitative field

Tools

Gurobi

CPLEX

OR-Tools

Job description

Oteemo is seeking a Data Scientist to design and deploy optimization and ML models that allocate scarce parts across competing programs. You will build algorithms spanning MILP, constraint programming, and ML forecasts, turning constraints into auditable allocation decisions.

You will own the modeling lifecycle from data exploration to production deployment, partnering with stakeholders and engineers to deliver scalable services and clear tradeoffs.