Lead Data Science Analyst

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:

This position will support the Product team at Discover Home Loans and will need to perform analytics research to drive new strategies. The role needs to support the Product team in terms of data research, product research and execution of product related strategies. The right candidate is expected to bring foundational understanding of Discover’s product offering (Home Equity Loans and Cash-Out Refinance) and mortgage lending landscape. Prior experience in mortgage lending or financial product management will be helpful in this role.

Major Responsibilities:

• Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. 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 to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.

• Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.

• Manages multiple pritories, communicate business performance and project progress to management & business partners.

• Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.

• 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:

• Bachelor's Degree in Analytics, Engineering, OR Statistics.

• 4+ years ofCredit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related

Preferred Qualifications:

• Master's in Analytics, Engineering, Mathematics, Statistics.

• 2+ years in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related

Application Deadline:

The application window for this position is anticipated to close on Apr-21-2024. 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 for this position generally ranges between to . Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position.

Benefits:

We also offer a range of benefits and programs based on eligibility. These benefits include:

• Paid Parental Leave

• Paid Time Off

• 401(k) Plan

• Medical, Dental, Vision, & Health Savings Account

• STD, Life, LTD and AD&D

• Recognition Program

• Education Assistance

• Commuter Benefits

• Family Support Programs

• Employee Stock Purchase Plan

Learn more at mydiscoverbenefits.com.

What are you waiting for? Apply today!

All Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management.

Discover is committed to a diverse and inclusive workplace. Discover is an equal opportunity employer and does not discriminate on the basis of race, color