Lead / Manager, Data Scientist

📋 Description

• Lead and mentor a team of data scientists and provide technical direction across multiple data
• Own the end-to-end delivery of data science solutions, from problem definition and exploratory
• Develop and lead pricing optimization and price elasticity models to support revenue
• Build customer segmentation and targeting models using techniques such as K-Means, Gaussian Mixture
• Develop predictive and statistical models using Regression, Random Forest, Decision Trees, Support
• Develop Bayesian regression and hierarchical Bayesian models using frameworks such as PyMC or Stan.

🎯 Requirements

• 9+ years of hands-on experience in Data Science, Advanced Analytics, or a related quantitative
• Experience in LLM and Agentic AI Engineering Systems with demonstrated delivery and client
• Strong programming skills in Python and experience with pandas, NumPy, and scikit-learn.
• Strong SQL skills, including joins, window functions, aggregations, and working with large datasets.
• Strong understanding of applied statistics, probability, regression, hypothesis testing, model
• Hands-on experience with: Bayesian Modelling & Optimization, K-Means, Gaussian Mixture Models

🎁 Benefits

• Competitive Salary
• Dynamic Career Growth
• Idea Tanks
• Growth Chats
• Snack Zone
• Recognition & Rewards