Data Scientist - Product Based Only

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 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