Lead Data Scientist - Machine Learning Models (5-8 yrs)

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.