Data Scientist-II (Traditional/Classic ML, Neural networks exp must)
at shaadi.com
Deep Learning
Machine Learning (ML)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:
○ 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
What We’re Looking For
● 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About shaadi.com
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Walk-in Interviews
Monday to Friday - 11 AM to 6 PM
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon