Senior Manager 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:

At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.

Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary. Manages a large team of high performing quantitative analysts and/or managers and will be responsible for ensuring the team stays motivated and engaged. He/she will manage team performance, coach and develop employees and hire the right talent. This role will identify, prioritize and supervise the team to flawlessly execute on initiatives, set strategic direction for the team on analytic initiatives as well as develop analytic core capability development that enable better decision making and nimble action.

Responsibilities

• Provides thought leadership & strategic thinking to translate business problem into analytical framework(s) and independently recommend actions and provide business insights. 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.
• Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.
• Recruits, trains, coaches and develops talents to their full potential with exceptional quantitative/analytical competencies, as well as project management skill and leadership skills. Manages and sets priorities of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.
• 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, creates visual displays of quantitative information. Facilitate implementation of work product and ensure accuracy.
• Ensures standard work processes and documentation requirements are timely and consistently followed by team. Encourages continuous improvement of team processes and share across functional teams to ensure consistency.

Minimum Qualifications

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

• Bachelor’s Degree in Analytics, Engineering, Statistics or related field
• 8+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field
• 2+ years of experience in People Management

Preferred Qualifications

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

• Master’s Degree in Analytics, Engineering, Statistics or related field
• 6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field

Application Deadline:

The application window for this position is anticipated to close on Apr-14-2024. 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 $149,500.00 to $209,900.00. 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 .

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, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status.

Discover complies with federal, state, and local laws applicable to qualified individuals with disabilities and is committed to providing reasonable accommodations. If you require a reasonable accommodation to search for a position, to complete an application, and/or to participate in an interview, please email . Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation.