People Interactive
Website:
peopleinteractive.in
Job details:
π At Shaadi.com, weβre not just building a product β weβre building meaningful connections πβ¨. With millions of users across the globe π, we thrive on solving real-life matchmaking challenges using the power of data ππ€. 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 π«.
What Youβll Do
β¨ Partner with Product to spot high-leverage ML opportunities tied to business metrics.
π¦ Wrangle large structured and unstructured datasets; build reliable features and data contracts.
π§ Build and ship models to:
π Enhance customer experiences and personalization
π Boost revenue via pricing/discount optimization
π Power user-to-user discovery and ranking (matchmaking at scale)
π‘οΈ Detect and block fraud/risk in real time
π― Score conversion/churn/acceptance propensity for targeted actions
βοΈ Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS βοΈ
π§ͺ Design and run A/B tests with guardrails
π‘ Build monitoring for model/data drift and business KPIs
What Weβre Looking For
π¨ π» 3β6 years of DS/ML experience in consumer internet / B2C products, with 7β8 models shipped to production end-to-end.
π₯ Proven, hands-on success in at least two (preferably 3β4) of the following:
π€ Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
π‘οΈ Fraud/risk detection (severe class imbalance, PR-AUC)
π° Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
π Propensity models (payment/churn)
π Programming: strong Python and SQL; solid git, Docker, CI/CD.
βοΈ Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
π§ ML breadth: recommender systems, NLP or user profiling, anomaly detection.
π£οΈ Communication: clear storytelling with data; can align stakeholders and drive decisions.
π‘ Come build intelligent matchmaking experiences that impact millions every day π
Click on Apply to know more.