Manager Data Science

4 days ago

Riverwoods, United States Discover Financial Services Full time

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 providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. The role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary. Manages a team of high performing quantitative analysts and will be responsible for ensuring the team stays motivated and engaged. Manages team performance, coach and develop employees and hire the right talent. In addition, this individual will identify, prioritize and supervise the team to flawlessly execute on initiatives.

  • Develops and coaches teams to be able to identify, manage, and escalate risk, and effectively manages risk within the teams you oversee.

How You’ll Do It

  • 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.

  • Manages priorities and sets of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.

  • 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, propose, design and implement tests to drive strategy enhancement and optimization.

  • 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. Facilitates 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.

Qualifications You’ll Need
The Basics

  • Bachelors degree in Analytics, Engineering, Statistics, or related

  • 6+ years of experience in 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.

  • 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 communicate verbally.; Ability to communicate in written form.

Bonus Points If You Have

  • Masters degree in Analytics, Engineering, Statistics, Mathematics, or related

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

Discover will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States on a full-time basis.

#LI-EB1

Application Deadline:

The application window for this position is anticipated to close on Dec-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 $130,000.00 to $182,000.00. 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 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, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status. (Know Your Rights & Pay Transparency Nondiscrimination Provision)

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 HireAccommodation@discover.com. Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation.

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