Zorba AI

We are looking for an experienced Associate Lead Data Scientist (ALDS) with a strong foundation in Machine Learning, Operations Research, Optimization, and Advanced Analytics. The ideal candidate should have hands-on experience solving complex business problems using optimization techniques such as Mixed Integer Linear Programming (MILP), Constrained Programming, and Non-Linear Programming, along with expertise in modern machine learning and cloud technologies. 
 
This role involves a combination of hands-on technical contribution, client engagement, project ownership, team mentoring, and solution design across domains such as Retail, Consumer Goods, Pharma, Banking, and Insurance. 
 
Candidates with experience in Trade Promotion Optimization (TPO), Revenue Growth Management (RGM), pricing optimization, supply chain optimization, or commercial analytics will be highly preferred. 
 
Mandatory SkillsOperations Research & Optimization 
 

* Strong academic and practical background in Operations Research (OR) and optimization.
* Hands-on experience with:

* Mixed Integer Linear Programming (MILP)
* Mixed Integer Programming (MIP)
* Constrained Programming
* Non-Linear Programming (NLP)
* Mathematical optimization and simulation techniques

* Experience using optimization tools such as:

* Gurobi
* CPLEX
* OR-Tools
* Pyomo
* Other optimization frameworks 
 

Trade Promotion & Revenue Management (Preferred) 
 
Experience in one or more of the following: 
 

* Trade Promotion Optimization (TPO)
* Revenue Growth Management (RGM)
* Pricing Optimization
* Promotion Effectiveness
* Demand Forecasting
* Assortment Optimization
* Supply Chain Optimization 
 
 

Programming & Data Engineering 
 

* Strong programming expertise in:

* Python
* SQL
* R
* NoSQL
* Spark / PySpark

* Experience with cloud platforms:

* AWS
* Azure
* GCP 
 

Python Libraries & Frameworks 
 
Hands-on Experience With 
 


* NumPy
* Pandas
* Scikit-learn
* TensorFlow
* PyTorch
* BERT
* Scapy
* Scrapy 
 
 

Machine Learning & Statistics 
 
Strong Understanding Of 
 


* Statistical analysis and hypothesis testing
* Predictive modelling
* Feature engineering
* Model evaluation and optimization 
 
 

Experience With Algorithms Such As 
 


* Linear Regression
* Logistic Regression
* Decision Trees
* Random Forest
* SVM
* Neural Networks
* K-Means Clustering
* PCA
* Ensemble Models 
 
 

Key ResponsibilitiesData Science & Optimization 
 

* Design and develop machine learning, optimization, and analytics solutions for complex business problems.
* Build mathematical optimization models using MILP, constrained programming, and non-linear programming techniques.
* Develop scalable predictive and prescriptive analytics solutions.
* Solve business problems using data-driven insights and advanced algorithms. 
 
 

Client Engagement 
 

* Engage with clients to understand business challenges and convert them into analytical solutions.
* Present recommendations, business insights, and optimization outcomes to stakeholders.
* Build trusted advisor relationships with business and IT teams. 
 
 

Leadership & Project Management 
 

* Lead end-to-end AI and analytics engagements.
* Guide and mentor junior data scientists.
* Conduct project planning, effort estimation, and delivery management.
* Ensure project timelines, quality standards, and stakeholder expectations are met. 
 
 

Strategy & Innovation 
 

* Define analytics roadmaps and technology strategies.
* Support pre-sales and solutioning initiatives.
* Contribute to internal accelerators, products, and reusable assets. 
 
 

Preferred Domain Experience 
 
Candidates with experience in any of the following domains will be preferred: 
 

* Retail
* Consumer Packaged Goods (CPG)
* FMCG
* Pharma
* Banking
* Insurance
* Supply Chain
* Revenue Management 
 
 

Key Search Keywords 
 
Operations Research, OR, Optimization, MILP, MIP, Mixed Integer Programming, Constrained Programming, Non-Linear Programming, Mathematical Optimization, Gurobi, CPLEX, OR-Tools, Pyomo, Trade Promotion Optimization, TPO, Revenue Growth Management, RGM, Pricing Optimization, Demand Forecasting, Machine Learning, Python, SQL, Spark, TensorFlow, Statistics, Retail Analytics, Supply Chain Optimization. 
 
Skills: mip,tpo,mlp,operations,optimization,machine learning,linear programming

Python

Machine Learning

Research

Data analytics

Algorithm

TensorFlow

Data

Amazon

Testing

NumPy

Operations

Cloud

Pandas

Azure

Growth

Project management

Apache Spark

Statistics

Forecasting

Data Engineering

NoSQL

Analysis

PyTorch

Innovation

Support

Neural Networks

Project planning

Banking

Operations Research

Code optimization

Mixed integer programming

Linear Programming

Google Cloud Platform

Scikit-learn

BERT

Scapy

Scrapy

Associate Lead Data Scientist – Operations Research & Optimization