Data Scientist Specialist

4 days ago

Navi Mumbai, Maharashtra, India Uplers Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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- )

Required skills: Python, AWS or GCP

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:

  • 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

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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