DESCRIPTION:

Duties: Responsible for cross functional data analytics projects aimed at improving marketing-targeting and pricing initiatives for the company. Partner with cross-functional teams of Data Scientists, Finance, IT and Marketing partners to develop data driven products to improve customer acquisition, retention strategies, and optimize spend and resources to target customers based on mortgage product needs. 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 in order to solve complex, multi-faceted business problems.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Engineering (any), Computer Science, Data Science, Statistics, Data Analytics, Applied Mathematics or related field of study plus 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.

Skills Required: This position requires experience with the following: working on data science projects in marketing, operations, and pricing domains; 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; preparing detailed AI and ML model documentation; model evaluation techniques including AUC and Gain Chart; SHAP to interpret and explain predictions of complex machine learning models.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. In addition, please visit: https://careers.jpmorgan.com/us/en/about-us.

Job Location: 480 Washington Blvd, Jersey City, NJ 07310.

Full-Time. Salary:  $195,100 - $260,000 per year.