Data Scientist

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:-

● 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:

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!