Job Description

We are seeking a skilled Operations Research Scientist / Optimization Specialist to design, develop, and implement advanced optimization models and scheduling algorithms that solve complex operational challenges. You will work closely with cross-functional teams to translate business problems into mathematical models, leveraging your expertise in Mixed Integer Linear Programming (MILP), production network design, and data analytics. Proficiency in Python and hands-on experience with optimization solvers are essential.


Key Responsibilities:


Design and develop optimization models (e.g., MILP, LP, heuristics) for supply chain, manufacturing, logistics, or resource allocation problems.


Implement advanced scheduling algorithms to improve operational efficiency and service levels.


Translate real-world business challenges into mathematical models and provide actionable insights.


Use Python and optimization libraries (e.g., Gurobi, CPLEX, Pyomo, PuLP) to build, test, and deploy scalable solutions.


Analyze large datasets to identify trends and validate model assumptions.


Collaborate with data scientists, engineers, and business stakeholders to integrate optimization models into decision-support systems.


Continuously evaluate and enhance model performance based on feedback and operational outcomes.


Document model design, assumptions, validation processes, and results clearly and effectively.

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.



Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.



Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.