Senior Data Scientist

2 months ago


Ahmedabad, India Infraveo Full time

This is a remote position.

We are seeking for an experienced Senior Data Scientist to build and deploy Machine Learning models for all things Risk and Fraud.

Responsibilities:
  • Build and Deploy ML Models: Youll design develop and deploy machine learning models to enhance our Risk and Fraud detection systems. These models protect Step and our customers from fraud and financial loss.
  • Lead Technical Efforts: Youll take the lead in the Risk/Fraud area providing technical direction and helping shape teams strategy.
  • Data Manipulation: Youll use SQL to efficiently fetch transform and manipulate data ensuring its ready for model development.
  • Code Development: Youll write productiongrade code to deliver robust machine learning solutions.
  • Design Experiments: Youll apply statistics to guide experiments determine appropriate sample sizes and evaluate model performance.
  • CrossFunction Partnership: Parter with Operations Team to quickly respond to rapidly evolving events.


Requirements
  • 5 years experience in Data Science or ML Engineering
  • A graduate degree in statistics economics applied mathematics computer science physical sciences or a similar technical field.
  • Proficiency in SQL and Python
  • Ability to communicate clearly with both technical and nontechnical audiences.
  • Excellent data analysis skills.
  • Experience developing and deploying machine learning models.
  • Experience but not required in working in financial systems including lending or risk/fraud.

Benefits
  • Work Location: Remote
  • 5 days working


5+ years experience in Data Science or ML Engineering A graduate degree in statistics, economics, applied mathematics, computer science, physical sciences, or a similar technical field. Proficiency in SQL and Python Ability to communicate clearly with both technical and non-technical audiences. Excellent data analysis skills. Experience developing and deploying machine learning models. Experience, but not required, in working in financial systems, including lending or risk/fraud.
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