Experience: 7+ years
Location: Pune (India)
Primary Skills: Data Science, Machine learning
Advanced Mathematical & Optimization Modelling
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Develop and implement stochastic programming models and scenario-based optimization frameworks.
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Design and solve linear programming (LP), mixed-integer programming (MIP), and network optimization models.
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Build and apply:
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Multi-Criteria Decision Models
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Decision Analysis frameworks
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Game Theory models
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Facility Location models
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Multi-echelon Inventory models
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Inventory optimization models (EOQ, probabilistic models)
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Lead optimization & simulation initiatives to improve operational efficiency.
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Design robust scenario modeling frameworks for uncertainty management.
Forecasting & Statistical Modeling
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Develop advanced time series forecasting models.
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Build and validate regression models (linear, nonlinear, regularized).
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Apply statistical inference techniques to guide strategic decisions.
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Perform large-scale Exploratory Data Analysis (EDA) to uncover insights and patterns.
Machine Learning & AI
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Develop and deploy deep learning algorithms.
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Design and implement solutions using Large Language Models (LLMs).
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Build intelligent systems using Agentic AI frameworks such as:
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LangGraph, LangChain, n8n, CrewAI
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Architect autonomous workflows leveraging AI agents for optimization, automation, and decision support.
Technical Leadership
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Translate complex business problems into mathematical and AI-driven solutions.
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Collaborate with cross-functional teams including operations, engineering, and business stakeholders.
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Mentor junior data scientists and provide technical guidance.
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Communicate findings clearly to both technical and non-technical audiences.
Required Qualifications
Education
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Master’s or PhD in:
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Mathematics
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Operations Research
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Applied Mathematics
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Industrial Engineering
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Statistics or related quantitative field
Experience
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10+ years of experience in data science, optimization, or advanced analytics roles.
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Proven hands-on experience in:
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Stochastic Programming
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Scenario Modeling
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Linear & Mixed-Integer Programming
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Network Optimization
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Inventory & Supply Chain Modeling
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Facility Location Modeling
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Simulation & Optimization techniques
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Strong experience with Time Series and Regression Models.
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Experience building and deploying Deep Learning solutions.
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Practical experience working with Large Language Models and agentic AI frameworks.
Technical Skills
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Programming: Python (required)
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Optimization tools: Pyomo, Gurobi, CPLEX, OR-Tools (or similar)
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ML/DL frameworks: TensorFlow, PyTorch
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LLM Integration: OpenAI APIs or similar
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Agentic AI frameworks: LangGraph, LangChain, n8n
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Data tools: SQL, Pandas, NumPy
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Visualization: Power BI
Preferred Qualifications
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Experience in supply chain or operations-heavy industries.
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Experience deploying AI models into production environments.
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Knowledge of cloud platforms (AWS, Azure, GCP).
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Familiarity with MLOps practices.