Lead data scientist

3 weeks ago

Bangalore, India The House Of Rare Full time

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 (D2 C) 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, Tensor Flow, Py Torch, XGBoost, Light GBM). - 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 D2 C, retail, or e Commerce organizations

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