Description :

At Shaadi.com, were not just building a product - were 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 Youll 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 Were Looking For :

- 2 - 4 years of DS/ML experience in consumer internet / B2C products, with 78 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.