Hybrid Operations Research Data Scientist: Optimization & ML

Pacer Group; Menlo Park (CA); Hybrid; USD 117,000 - 143,000; Full time

Benefits offered by this job

Medical insurance

Dental

Vision

401(k)

Job summary

Pacer Group is seeking an Operations Research Data Scientist who combines Python, SQL, AI/ML, and mathematical optimization to tackle complex business challenges. You will develop scalable optimization models using LP and tools such as CPLEX, Gurobi or FICO Xpress to drive informed decisions.

The role emphasizes hands-on model development, data processing, and collaboration with cross-functional teams. Hybrid work arrangement in California, United States.

Qualifications

• Bachelor's or Master's degree in CS, Math, Stats, Data Science or OR.
• Strong hands-on Python and SQL experience.
• Proven experience in Mathematical Optimization and Operations Research.
• Experience with CPLEX, Gurobi or Xpress.
• Strong knowledge of Linear Programming and mathematical modeling.
• Analytical, quantitative and problem-solving skills.

Responsibilities

• Develop and implement optimization models using LP and OR.
• Build and optimize solutions with FICO Xpress, IBM CPLEX, or Gurobi.
• Use Python and SQL to process large datasets and develop optimization algorithms.
• Apply AI/ML techniques to improve predictive modeling and business decision-making.
• Translate business requirements into scalable mathematical optimization solutions.
• Perform model validation, performance tuning, and collaborate with cross-functional teams.

Skills

Python

SQL

Operations Research

Optimization techniques

Mathematical Modeling

AI/ML

Education

Bachelor's or Master’s degree in CS/Math/Stats/Data Science/OR

Tools

CPLEX

Gurobi

FICO Xpress

Job description

Pacer Group is seeking an Operations Research Data Scientist who combines Python, SQL, AI/ML, and mathematical optimization to tackle complex business challenges. You will develop scalable optimization models using LP and tools such as CPLEX, Gurobi or FICO Xpress to drive informed decisions.

The role emphasizes hands-on model development, data processing, and collaboration with cross-functional teams. Hybrid work arrangement in California, United States.