Lead Data Scientist

Senior Lead Data Scientist Retail AI/ML Strategy

Location:

Experience Required:

About the Role:

Key Responsibilities:

• Model Development & Machine Learning

o Build, deploy, and scale advanced ML models using Python Frameworks.

o Design solutions across key retail/CPG domains:

Bayesian Analytics

Market Mix Modeling (MMM)

Regression & Ensemble Modeling

New Store Forecastin

Semantic Search Systems

Order Fraud Detection Models

• Advanced Retail Use Cases

Lead AI/ML initiatives on:

Assortment Optimization

A/B & Multivariate Testing Frameworks

Advanced Price Elasticity models

CLTV, RFM Segmentation

Sales Attribution & Store Driver Modeling

Survey Analytics

Merchandise Analytics

• Cross-functional Leadership

o Present findings and strategic recommendations to senior leadership. o Lead data science pods and mentor junior team members.

• AI/ML Innovation

o Stay ahead of the curve with innovations in LLMs, causal inference, probabilistic programming, and generative AI.

o Build and maintain reusable modeling pipelines and experiment frameworks.

Required Qualifications:

• Masters or Bachelors in Computer Science, Statistics, Mathematics, Economics, or related fields.

• 6+ years

• Proficiency in Python

• Hands-on experience with regression analysis, ensemble methods, Bayesian modeling, and experimentation design.

• Exposure to causal inference libraries like DoWhy or EconML.

Preferred Skills:

• Familiarity with BI tools like Power BI, Tableau for dashboarding and executive storytelling.

• Working knowledge of cloud platforms like Azure, AWS, or GCP and tools such as Databricks or MLflow