Lead Data Scientist
3 weeks ago
RESPONSIBILITIES :
- Develop customer level response models, propensity models, risk models, and- profitability models leveraging credit bureau and as well as alternate data for credit cards- and personal loan products.
- Build a consumer centric marketing engine to optimize marketing spend for millions of- prospects across multiple products (personal loans and credit cards) and channels (i.e. direct mail, digital marketing, partners, existing customers and aggregators).
- Develop and automate pre-screen credit policy for prospects across different products- and channels.
- Lead- initiatives to drive business value from start to finish including project planning,- communication and stakeholder management.
- Lead- discussions with compliance, partners and model risk management teams to facilitate the model governance activities such as model validations and monitoring.
- Build experimental design-based testing framework for rapid experimentation and- learning.
- Build end-to-end reusable ML pipelines from data acquisition to model output delivery.
- Lead- and mentor data scientists that solve business problems leveraging AI/ML.
- Communicate and partner with client engagement leader.
REQUIREMENTS :
- 5+ years data science experience in developing and deploying machine learning- models, preferably with targeting and credit risk models and strategies.
- Hands on experience leveraging machine learning techniques such as Gradient- Boosting, Clustering, Logistic Regression or Random Forest to solve real world problems.
- 5+ years of hands-on experience with data extraction, cleaning, analysis and building- reusable data pipelines; Proficient in Python.
- Spark SQL and/or Hive.
- 5+ years of experience in leveraging modern machine learning toolset and programming- languages such as Python.
- Excellent written and oral communication skills.
- A relentless problem solver and out of the box thinker with a proven track record of- driving business results in a timely manner.
- Strong stakeholder management and project management skills.
Work Location : Remote.
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