Data Scientist - Applied AI and ML [Multiple Positions Available]

JPMorgan Chase • Jersey City, NJ

112d • $195,100 - $260,000

About The Position

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.

Requirements

• Master's degree in Engineering (any), Computer Science, Data Science, Statistics, Data Analytics, Applied Mathematics or related field.
• 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.
• Experience with data science projects in marketing, operations, and pricing domains.
• 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.
• 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.

Responsibilities

• Responsible for cross functional data analytics projects aimed at improving marketing-targeting and pricing initiatives.
• Partner with cross-functional teams of Data Scientists, Finance, IT and Marketing partners.
• Develop data driven products to improve customer acquisition and retention strategies.
• 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.
• Perform Data Mining to extract patterns and data wrangling to manipulate and aggregate data.

Benefits

• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Credit Intermediation and Related Activities
• Education Level: Master's degree