Data Scientist

Data Scientist

Description:

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.