Job Description

Data Scientist ML/AI | Mumbai (Product Company)
We're seeking a hands-on Data Scientist or ML Engineer to build and deploy ML models that drive consumer internet products. Focus on recommendation systems, NLP, fraud detection, pricing, or propensity modeling in a fast-paced B2C environment. Key Responsibilities
Develop and productionize ML models end-to-end using Python, including classical algorithms like linear/logistic regression, decision trees, and gradient boosting.
Implement use cases in recommender systems (retrieval/ranking, NDCG), fraud/risk detection (PR-AUC), pricing models (elasticity/demand), or propensity models (churn/payment).
Apply NLP techniques for text generation, classification, embeddings, similarity models, user profiling, and unstructured text feature extraction.
Deploy models via APIs, Docker, CI/CD pipelines on AWS or GCP.
Collaborate with stakeholders, using SQL for data querying, git for version control, and tools like Redshift/BigQuery, Looker/Tableau for insights. Must-Have Requirements
2+ years as Data Scientist/ML Engineer with hands-on model building and 7-8 models shipped to production.
Strong Python expertise for classical ML algorithms.
Experience in 2+ use cases: recommenders, image data, fraud/risk, pricing, propensity.
NLP exposure: text gen/classification, embeddings, similarity, user profiling.
Productionizing ML via APIs/CI/CD/Docker on AWS/GCP.
2-5 years in consumer internet/B2C products preferred.

Skills Required