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 💕