Improving marketing-targeting and pricing initiatives for Chase through data analytics projects
Requirements
- Experience with supervised and unsupervised machine learning algorithms including boosting trees and clustering techniques using R
- Modeling with XGBoost, Random Forest, and clustering
- Applied statistical and mathematical techniques including A/B testing, correlation analysis, gradient descent optimization, and operations research models
- Data wrangling tools including SQL Teradata and Hadoop, Alteryx, and IBM Cognos Analytics
- Alteryx for data mining, data wrangling, and aggregation
- SHAP to interpret and explain predictions of complex machine learning models
- Experience working on data science projects in marketing, operations, and pricing domains
Responsibilities
- Build complex machine learning models to solve business problems
- Perform advanced quantitative and statistical analysis using applied statistical and mathematical techniques to solve complex business problems
- Perform Data Mining to extract patterns and data wrangling to manipulate and aggregate data from different data warehouses
- Develop data driven products to improve customer acquisition, retention strategies, and optimize spend and resources to target customers based on mortgage product needs
- Partner with cross-functional teams of Data Scientists, Finance, IT and Marketing partners
- Prepare detailed AI and ML model documentation
- Model evaluation techniques including AUC and Gain Chart
Other
- Master's degree in Engineering (any), Computer Science, Data Science, Statistics, Data Analytics, Applied Mathematics or related field of study
- 3 years of experience in the job offered or as Data Scientist - Applied AI and ML, Data Scientist, Data Scientist (Lifecycle Analytics), Business Analytics 3 (Marketing Analytics), Consulting Analyst, or related occupation
- Full-Time position
- Location: 480 Washington Blvd, Jersey City, NJ 07310
- Equal Opportunity Employer/Disability/Veterans
