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Lead Data Scientist

Lead Data Scientist

The House of RareBengaluru, Karnataka, India
6 days ago
Job description

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
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    Lead Data Scientist • Bengaluru, Karnataka, India

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