Principal Data Science

Discover. A brighter future.

With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.

Come build your future, while being the reason millions of people find a brighter financial future with Discover.

Job Description:

Responsible for working closely with management to execute analytical initiatives. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics, and machine learning. This position will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary. 

This position will support the Product and Pricing team at Discover Home Loans and will need to perform analytics research to drive new strategies. The role needs to support the Product and Pricing team in terms of developing quality test designs and reporting dashboards to evaluate the performance of tests. The role is expected to help in developing business cases and supporting financial analyses to back recommendation for new strategies and tactics. Prior experience of working in or with credit risk, finance or pricing functions will be helpful in managing the requirements of this role. The role requires basic understanding of consumer lending business and financial analysis.

Responsibilities:

• Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. 

• Collaborates with cross-functional partners (Product & Pricing, Credit Risk, Finance) to understand their business needs, formulate, and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design, and implement tests to drive strategy enhancement and optimization.

• Designs and develops high-quality dashboards in Tableau to draw business insights for the leadership team. Demonstrates sound understanding of business objectives and accordingly recommends frameworks for reporting dashboards.  

• Leverages Snowflake/SQL data queries to investigate business problems faced by stakeholders and responds with quick turnaround.       

• Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics, and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company. 

• Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. 

• Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. 

• Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development. 

  

 Minimum Qualifications 

At a minimum, here’s what we need from you: 

•  Bachelor’s Degree in Analytics, Engineering, Statistics, or related field 

• 6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science, or related field 

Preferred Qualifications 

If we had our say, we’d also look for: 

•   Master’s Degree in Analytics, Engineering, Mathematics, Statistics, or related field 

• 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science, or related field 

Application Deadline:

The application window for this position is anticipated to close on Dec-16-2023. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed.

Compensation:

The base pay f