3 Days Left Data Scientist

4 weeks ago


Mumbai India Uplers Full time

Job Description Experience: 3+ years Salary: Confidential (based on experience) Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Hybrid (Mumbai) Placement Type: Full time Permanent Position (*Note: This is a requirement for one of Uplers client- Shaadi.com) Required skills: Python, AWS or GCP What You'll 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: 1. Enhance customer experiences and personalization 2. Boost revenue via pricing/discount optimization 3. Power user-to-user discovery and ranking (matchmaking at scale) 4. Detect and block fraud/risk in real time 5. 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 What We're Looking For:- 24 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: 1. Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus) 2. Fraud/risk detection (severe class imbalance, PR-AUC) 3. Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation) 4. 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 How to apply for this opportunity - Step 1: Click On Apply And Register or Login on our portal. - Step 2: Complete the Screening Form & Upload updated Resume - Step 3: Increase your chances to get shortlisted & meet the client for the Interview


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