Data Scientist Specialist

3 - 6 years

20 - 35 Lacs

mumbai navi mumbai mumbai (all areas)

Posted:1 day ago| Platform: Naukri logo

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Skills Required

Work Mode

Hybrid

Job Type

Full Time

Job Description

Experience

Salary

Shift

Opportunity Type

Placement Type

(*Note: This is a requirement for one of Uplers' client- Shaadi.com)

Required skills:

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:
  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!

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Digital Services

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