Operations Research Data Scientist

Job Title:

Operations Research Data Scientist

Location:

Fremont, CA (Hybrid)

Employment Type:

Full Time

Domain:

Operations Research / Data Science

Pay Rate:

$150K annually

Application Deadline:

October 20th, 2026

SKILLS REQUIRED

Primary (Must-Have)

• 5+ years of experience in

Operations Research, Data Science, AI/ML, or Mathematical Optimization

, with strong experience solving complex business problems.

• Strong hands-on experience with Mathematical Optimization and optimization tools such as FICO Xpress, IBM CPLEX, or Gurobi.
• Strong understanding of Linear Programming (LP), mathematical modelling, optimization algorithms, and Operations Research techniques.
• Mandatory strong coding skills in Python and SQL, with experience working with large datasets and scalable analytical solutions.
• Proven experience developing, implementing, and optimizing mathematical models to address complex business and operational challenges.

Secondary (Good to Have):

• Experience with

Machine Learning (ML) and Artificial Intelligence (AI)

solutions and predictive modelling.

• Knowledge or hands-on experience with

Natural Language Processing (NLP)

.

• Experience translating business requirements into scalable optimization and data science solutions.
• Strong analytical, quantitative, problem-solving, and statistical skills.
• Experience collaborating with cross-functional business, data, engineering, and technology teams.

POSITION OVERVIEW

We are seeking an experienced

Operations Research Data Scientist

with strong expertise in AI/ML, Mathematical Optimization, Operations Research, Python, and SQL. The ideal candidate will have hands-on experience developing optimization models using tools such as FICO Xpress, IBM CPLEX, or Gurobi, along with a strong understanding of Linear Programming and mathematical modelling.

The candidate will translate complex business requirements and large datasets into scalable optimization solutions that drive business and operational decisions.

ROLES & RESPONSIBILITIES

• Develop, implement, and

optimize mathematical and Operations Research models

to solve complex business and operational problems.

• Build and deploy optimization solutions using

FICO Xpress, IBM CPLEX, Gurobi

, or similar optimization platforms.

• Apply

Linear Programming (LP)

and other mathematical optimization techniques to improve business processes, resource allocation, planning, and decision-making.

• Use

Python and SQL

to analyse large datasets, develop optimization algorithms, and build scalable data science solutions.

• Collaborate with business stakeholders, data scientists, engineers, and cross-functional teams to translate business requirements into effective optimization and AI/ML solutions.

BENEFITS

• Medical | Dental | Vision | 401(k) EEOC Compliance: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.
• DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications.
• Final hiring decisions are made by human recruiters based on qualifications and experience.