Data Scientist

🚀 At Shaadi.com, we’re not just building a product — we’re building meaningful connections 💕✨. With millions of users across the globe 🌍, we thrive on solving real-life matchmaking challenges using the power of data 📊🤖. If you love turning data into insights and building models that create impact at scale, this is your chance to be part of something special 💫.

What You’ll Do
✨ Partner with Product to spot high-leverage ML opportunities tied to business metrics.
📦 Wrangle large structured and unstructured datasets; build reliable features and data contracts.
🧠 Build and ship models to:
💖 Enhance customer experiences and personalization
📈 Boost revenue via pricing/discount optimization
🔎 Power user-to-user discovery and ranking (matchmaking at scale)
🛡️ Detect and block fraud/risk in real time
🎯 Score conversion/churn/acceptance propensity for targeted actions
⚙️ Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS ☁️
🧪 Design and run A/B tests with guardrails
📡 Build monitoring for model/data drift and business KPIs

What We’re Looking For
👨 💻 3–6 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
🔥 Proven, hands-on success in at least two (preferably 3–4) of the following:
🤝 Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
🛡️ Fraud/risk detection (severe class imbalance, PR-AUC)
💰 Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
📊 Propensity models (payment/churn)
🐍 Programming: strong Python and SQL; solid git, Docker, CI/CD.
☁️ Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
🧠 ML breadth: recommender systems, NLP or user profiling, anomaly detection.
🗣️ Communication: clear storytelling with data; can align stakeholders and drive decisions.
💡 Come build intelligent matchmaking experiences that impact millions every day 💕