Data Scientist (Predictive AI - Operational Research)

We are looking for a highly motivated and experienced  Data Scientist  with strong expertise in  Predictive AI  and  Operational Research (OR)  to drive data-driven decision-making and optimization for complex business processes. This role involves designing, developing, and deploying machine learning and mathematical models to solve real-world operational problems across domains such as supply chain, logistics, manufacturing, finance, and customer service.

Project Description

The engineer is supposed to participate in various Predictive AI projects such as Demand Sensing and Forecasting, Price and Promotion Optimization and others.

Details on Tech stack

• Python
• Experience with linear optimization algorithms : Linear Programing and Mixed Integer Programing
• Experience with non-linear optimization algorithms : Gradient based and Metaheuristic algorithms (such as Genetic Algorithm, Simulation Annealing etc.)
• Experience with Simulation techniques (such as Montecarlo, MCMC, discreet event, agent-based modeling etc)
• Ability to recognize optimization type of problem (such as Max Flow, Schedule Problem, Knapsack problem etc)
• Experience with cloud (any cloud work - GCP, AWS)
• Experience with commercial and non commercial solvers (such as commercial Gurobi, Hexaly etc. & non commercial HiGHS, CP-SAT OrTools etc)

Nice to Have Requirements

Perks & Benefits :

Skills Required

Predictive Modeling, Operations Research, Demand Forecasting, Python, Linear Programming