Data Scientist

Requirements: 2-4 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. Requirements: 2-4 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.