Data Scientist Lead for ML Model Development
4 weeks ago
Key Responsibilities:
- Develop Machine learning based (ML AI) models and Retail models across the bank, working on multiple portfolios and techniques like decision trees, boosting, bagging, KNN, regularized regression, NLP, and unsupervised methods.
- Collaborate with stakeholders to communicate findings and evaluate models.
- Present findings to leadership and assist team members in validation.
- Ensure all activities are carried out in compliance with regulatory requirements.
- Possess in-depth knowledge of ML techniques and predictive modeling processes, with hands-on experience in developing or validating ML models using Python and SAS programming languages.
Requirements:
- 3-8 years of experience in data science and machine learning.
- Strong understanding of ML techniques, including decision trees, boosting, bagging, KNN, regularized regression, NLP, and unsupervised learning.
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