Data Scientist - Machine Learning/Python
EXPEDITE HIRE
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 : i. Enhance customer experiences and personalizationii. Boost revenue via pricing/discount optimizationiii. Power user-to-user discovery and ranking (matchmaking at scale)iv. Detect and block fraud/risk in real timev. 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 KPIsWhat 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 34) of the following : i. Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)ii. Fraud/risk detection (severe class imbalance, PR-AUC)iii. Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)iv. 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. (ref:hirist.tech)
Vacancy posted 1 day ago
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