Data Scientist + Gurobi (5+yrs) (India)

Location: Bangalore / Pune / Hyderabad

Experience: 5+ Years (can be adjusted as per requirement)

Employment Type: Contract / C2H (as applicable)

Job Overview

We are looking for a highly skilled Data Scientist with strong expertise in Mathematical Optimization and Gurobi to design and implement optimization models for complex business problems. The ideal candidate should have hands-on experience in Linear Programming (LP), Mixed Integer Programming (MIP), Operations Research, and Python-based optimization solutions. Experience in supply chain optimization and AWS cloud services will be an added advantage.

Key Responsibilities

• Design, develop, and optimize mathematical models using Gurobi (gurobipy).
• Build optimization solutions for Supply Chain, Scheduling, Routing, and Resource Allocation problems.
• Formulate and solve Linear Programming (LP) and Mixed Integer Programming (MIP) models.
• Perform data preprocessing, feature engineering, and analysis using Python, Pandas, and NumPy.
• Develop scalable optimization pipelines integrated with enterprise applications.
• Work closely with business stakeholders to translate real-world problems into optimization models.
• Automate model execution and workflows using Apache Airflow.
• Deploy optimization solutions on AWS using Lambda, AWS Batch, ECS Fargate, and Amazon SageMaker.
• Validate model performance and continuously improve solution quality and efficiency.
• Collaborate with cross-functional teams including Data Engineering, Analytics, and Product teams.

Required Skills

• Robust programming experience in Python.
• Hands-on expertise with Gurobi (gurobipy).
• Strong knowledge of Operations Research and Mathematical Optimization.
• Experience with Linear Programming (LP) and Mixed Integer Programming (MIP).
• Proficiency in Pandas, NumPy, SQL, and data preprocessing techniques.
• Experience in Supply Chain Optimization, Scheduling, or Logistics Optimization.
• Good understanding of optimization algorithms and modeling techniques.

Preferred Skills

• Experience with AWS Lambda, AWS Batch, ECS Fargate, Amazon SageMaker.
• Experience in workflow orchestration using Apache Airflow.
• Knowledge of cloud-based data pipelines and MLOps practices.
• Strong analytical, problem-solving, and communication skills.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Operations Research, Mathematics, Industrial Engineering, or a related field.
• 5+ years of experience in Data Science, Optimization, or Operations Research.
• Proven experience delivering optimization solutions in production environments.

Mandatory Skills

• Python
• Gurobi (gurobipy)
• Mathematical Optimization (LP/MIP)
• Operations Research
• Pandas & NumPy
• SQL
• Data Preprocessing
• Supply Chain / Scheduling Optimization

Good to Have

• AWS Lambda
• AWS Batch
• ECS Fargate
• Apache Airflow
• Amazon SageMaker
• Cloud-based Optimization Deployment

Pay: ₹60,000.00 - ₹100,000.00 per month

Benefits

• Provident Fund

Work Location: In person