Yes Madam - Senior Data Scientist

Company :

Location :

Role Type :

Experience :

Role & Responsibilities

Customer Intelligence & Growth :

• Build churn prediction, customer segmentation, recommendation systems, and CLTV prediction models.
• Develop next-best-service, upsell/cross-sell, and campaign response models.
• Analyse customer behaviour to improve rebooking, retention and frequency across beauty categories.
  

Marketing Science & Pricing

• Build dynamic pricing, discount optimisation, and propensity-to-buy models.
• Perform market basket analysis and optimise service bundles.
  

Operations & Supply Optimisation

• Create demand forecasting models for city/area/category.
• Optimise beautician routing, slot availability, and travel time prediction.
• Forecast consumables and inventory usage.
  

Quality & Experience

• Use NLP for review analysis, sentiment classification, and topic modelling.
• Build rating prediction models and quality-alert systems.
  

Fraud Detection & Safety

• Build anomaly detection models for coupon misuse, fake bookings, and suspicious customer/beautician behaviour.
• Support verification models such as face matching and OCR-based checks.
  

Product Analytics & BI

• Run A/B tests, causal inference, and support data-driven decision making.
• Build dashboards for leadership on demand, cohorts, utilisation, cancellations, and fulfilment.
• Present clear insights and Required :
• Strong expertise in Python, SQL, Pandas, NumPy, Scikit-learn, XGBoost/LightGBM, Time-Series Models, NLP, and Deep Learning basics.
• Experience with LSTM/GRU, ARIMA, Prophet, BERT, clustering algorithms, market basket analysis, and anomaly detection models.
• End-to-end experience in model building, validation, deployment, and working with large datasets.
• Ability to translate data into actionable insights for business and operations teams.