We are looking for a Lead Data Scientist to design, build, and deploy AI/ML solutions across marketing, customer, merchandising, and supply chain domains in a fast-scaling Direct-to-Consumer (D2C) retail business.

This role goes beyond reporting - the ideal candidate will bring deep expertise in data science, AI models, and marketing science to deliver high-impact solutions in customer acquisition, retention, personalization, pricing, and operational efficiency. You will partner directly with CXOs and senior business leaders to drive measurable business growth.

Core Technical Skills :

- Strong programming in Python and SQL.

- Advanced expertise in machine learning and AI models :

1. Supervised & unsupervised learning (classification, clustering, regression).

2. Time-series forecasting & demand modeling.

3. Recommendation systems & personalization.

4. NLP for customer feedback and surveys.

5. Computer Vision for image and catalog quality

- Ability to design, train, and deploy AI agents that can autonomously handle complex workflows.

- Proficiency in ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM).

- Knowledge of generative AI applications is a plus.

- Exposure to GCP cloud ecosystems and model deployment.

- Hands-on with ETL/ELT pipelines

Business & Leadership :

- Strong business acumen to link models to revenue, margin, and growth outcomes.

- Strong model explainability and storytelling skills able to clearly communicate complex models to non-technical stakeholders.

- Proven track record of working in fast-paced, high-growth consumer environments.

Key Responsibility :

- Build frameworks for customer segmentation, churn prediction, CLTV/CAC optimization, and dynamic discounting

- Conduct seasonality, decay rate, and pricing analyses to guide campaigns.

- Leverage survey and behavioral data for voice-of-consumer insights.

- Forecast demand across categories, sub-categories, and regions.

- Model size optimization, store-level and pincode-level preferences, and product fashionability.

- Develop recommendation engines (e.g., personalized bundling/auto-carts) to improve conversions.

- Build fraud detection systems to minimize COD/RTO losses.

- Analyze geo-based opportunities and cannibalization risks.

- Optimize warehouse-to-store replenishment and routing strategies.

- Deploy AI solutions like catalog/image hygiene automation.

- Explore generative AI and advanced ML to improve personalization and customer experience.

Education :

- Graduation : Bachelors degree (B.Tech/B.E.) in Computer Science, Mathematics, or related field from IITs, NITs, or other reputed institutes in India.

- Master : Masters degree in Data Science, Artificial Intelligence, Machine Learning, or related fields from a recognized university (India or abroad).

- Candidates with research experience, publications, or specialized certifications in AI/ML will have an added advantage.

Experience :

- 4-5 years of hands-on experience in Data Science & AI roles within high-value D2C, retail, or eCommerce organizations