Optimization​/Operations Research Scientist; LP, MILP, Gurobi, ML

Please note, this role is not able to offer visa transfer or sponsorship now or in the future

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world.

Learn how Cognizant helps clients lead with digital at

Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes.

Without human-centered thinking, connected products are just standalone things—but with it, our modern connected products facilitate a unified way of life enjoyed by all.

Formulate and solve large-scale optimization problems, build predict-then-optimize workflows, and deploy solvers into production decision services.

• Formulate large-scale optimization models (LP/MILP, mixed integer, network, scheduling) from business requirements.
• Implement and tune solvers (Gurobi/CPLEX/OR-Tools); apply decomposition, heuristics, and meta heuristics for scale.
• Build predict-then-optimize workflows integrating ML predictions with optimization.
• Validate, benchmark, and stress-test solutions for accuracy, feasibility, and performance.
• Deploy solvers into production decision services with engineering partners; monitor and maintain.
• Translate Real Estate & Manufacturing constraints into solver-ready formulations with stakeholders.

• INFORMS Certified Analytics Professional (CAP) (preferred)
• Gurobi / solver training certification (preferred)
• Google Cloud Professional Machine Learning Engineer or Azure Data Scientist Associate (DP-100) for ML/deployment

$100,000 to $130,000 + COLA and this position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.