Operations Research Data Scientist

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

Job Title: Operations Research Data Scientist

Work Arrangement: Hybrid

Employment Type: Full Time

Domain: AI/ML - Operations Research & Mathematical Optimization

Pay Rate: $130K Annually

Application Deadline: November 22th, 2026

SKILLS REQUIRED

• Strong expertise in Python and SQL programming.
• Hands-on experience with Operations Research and Mathematical Optimization.
• Strong understanding of Linear Programming (LP), MILP, and optimization techniques.
• Experience with FICO Xpress, IBM CPLEX, or Gurobi.
• Experience developing mathematical models to solve complex business problems.
• Knowledge of AI/ML, predictive modeling, and NLP is highly desirable.

POSITION OVERVIEW

We are seeking an experienced Operations Research Data Scientist with strong Python, SQL, AI/ML, and Mathematical Optimization expertise. The ideal candidate will develop scalable optimization models using Linear Programming and tools such as CPLEX, Gurobi, or FICO Xpress to solve complex business challenges.

ROLES & RESPONSIBILITIES

• Develop and implement mathematical optimization models using Linear Programming and Operations Research.
• Build and optimize solutions using 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.

EDUCATION & QUALIFICATIONS

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Data Science, or Operations Research.
• Strong hands-on experience in Python and SQL.
• Proven experience in Mathematical Optimization and Operations Research.
• Practical experience with CPLEX, Gurobi, or FICO Xpress.
• Strong knowledge of Linear Programming and mathematical modeling.
• Excellent analytical, quantitative, and problem-solving skills.

DESIRED SKILLS

• Experience in Artificial Intelligence, Machine Learning, and Predictive Analytics.
• Knowledge or hands-on experience in Natural Language Processing (NLP).
• Familiarity with Pyomo, PuLP, OR-Tools, and SciPy.
• Knowledge of Mixed-Integer Linear Programming (MILP) and Integer Programming.
• Experience with large-scale datasets and scalable optimization frameworks.

BENEFITS

Medical | Dental | Vision | 401(k)

EEOC COMPLIANCE

Pacer Group is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, veteran status, or any other protected characteristic.

DISCLAIMER

AI Usage Policy: Pacer Group uses AI-assisted tools to support candidate screening and recruitment processes. Final hiring decisions are made by human recruiters based on qualifications, experience, and client requirements.