Job: Data Scientist
Experience: 2-6 Years
Location: Bangalore
Commitment: Full-Time
Team: Data Science
What we are looking for:
Data Scientist preferably from financial services, large banks/MNCs.
• Own end to end business problems and metrics, build and implement ML solutions
• Design, experiment and evaluate innovative models for predictive learning
• Establish scalable, efficient, and automated process for large scale data analysis, feature creation, model development and deployment
•Exposure/Experience in developing Machine Learning models using various algorithms (logistic/linear, Random Forest. Xgboost ,etc)
• Strong background in business analysis (consumer/business strategy, financial products, pricing, etc.) with very strong data analysis (Sql, excel, etc,) experience
• Strong understanding of how to structure analysis and to solve real world business problems.
• Ability to identify key drivers of business and create KPIs/modeling solutions for the same,
• Expertise in end-to-end model development and model lifecycle management (develop, deploy, monitor) is preferred
• Hands on experience in R or Python is must
• Good business understanding of fintech/personal lending space is preferred
Responsibilities :
You'll work closely with the Product and Risk Team to:
- Define, design and deliver solutions using data science/analytics in fast paced environment
- Evaluate and apply machine learning algorithms to build variety of data science models particularly in credit risk/unsecured lending domain but not limited to
- Complete ownership including but not limited to identifying model development approach, building ML models, evaluation, cost benefit analysis, exploration of new data sources, implementation and monitoring of developed models.
- Working closely with engineering team for deployment of models and infrastructure development.