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:

What You'll Do
Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights. This lead data scientist role will be part of authorization and transaction fraud strategy product team, to drive innovation and process improvement in the end-to-end transaction authorization process. The role will be focused on managing the continuous spend strategy portfolio and leveraging advanced analytics techniques to maintain more than 3.5B annual sales expansion opportunities. This role also requires frequent interaction with network, technology, business strategy and risk/compliance team, to build a robust authorization system that can support ~$200B annual transactions with various types of in store and e-commerce transaction methodologies. This role is critical to support Discover enterprise solution in adapting the ever-changing technology in the payments industry and increase the company’s capability to capture additional share of wallet from customers.

How You'll Do It

• 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 priorities, 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.

Qualifications You'll Need

The Basics

• Bachelor's degree in Analytics, Engineering, Statistics, or related

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

Physical and Cognitive Requirements
The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable a qualified individual with disabilities to perform the essential functions of the position as required by federal, state, and local laws:

• Primarily remain in a stationary position.

• No required movement about the work environment to complete the major responsibilities of the job.

• Primarily performed indoors in an office setting.

• Ability to operate office equipment such as but not limited to computer, telephone, printer, and calculator.

Bonus Points If You Have

• Master's degree in Analytics, Engineering, Mathematics, Statistics, or related

• Previous experience working as a product-aligned data scientist

• Strong Python and SQL skills

• Good communication and collaboration skills

• Previous experience working with payment