Description :
- 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.Requirements :
2-6 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, user profiling, and anomaly detection.Communication : clear storytelling with data; can align stakeholders and drive decisions.(ref : hirist.tech)