One of our client is looking a Data Scientist.The client is a category-leading consumer internet unicorn-scale platform in Mumbai.
Role & Responsibilities:
- 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
Ideal Candidate:
- Strong Data Scientist/Machine Learnings/ AI Engineer Profile
- Must have 3+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
- Must have strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
- Must have practical hands-on experience with Neural Network / Deep Learning models (TensorFlow / PyTorch preferred)
- Must have hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
- Must have strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
- Must have experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
- Must be from product companies
- The candidate must currently be based in Mumbai or be a native of Mumbai
You can go through the JD or you can share your resume at [Confidential Information]
