Data Scientist Product Based Only

Not Interested
Bookmark
Report This Job

profile Job Location:

Mumbai - India

profile Monthly Salary: Not Disclosed
Posted on: 19 hours ago
Vacancies: 1 Vacancy

Job Summary

Data Scientist ML/AI Mumbai (Product Company)

Were 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) Were 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 Respon...
View more view more

Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills