Company : Yes Madam Beauty & Wellness at Home
Location : Noida Sector-63
Role Type : Full-Time
Experience : 5+Years
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.
(ref:hirist.tech)
