Senior Data Scientist Analyst, Internal Audit

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

• Develop and implement advanced analytics solutions to support audit use and optimize audit process and methodology.

• Research and leverage state-of-the-art modeling techniques; participates in modeling innovation.

• Leverage extensive and deep technical knowledge to drive the development of data science solutions and implements data-driven recommendations and outcomes.

• Maintain a high level of competency in statistical and analytical principles, tools and techniques, and drive the effort in the advancement of the "best-in-class" analytical capabilities to unlock new capabilities and performance and quickly adapts to modern modeling technique. Demonstrated knowledge in analytical tools.

How You’ll Do It

• Develops advanced analytics solutions including customer segmentation, optimization, test & design of experiments and prescriptive analytics 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, formulated and completed 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, propose, design and implement 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

• Bachelors Analytics, Engineering, Statistics or related

• 2+ 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.

• 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

• Masters or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Analytics or related field.

• 2+ years hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

• Proficiency in Python or R, along with commonly used libraries for data wrangling (e.g., numpy, pandas), modeling (e.g., scikit-learn), and visualization (e.g., seaborn, ggplot2).

• Extensive experience with SQL for extracting data from databases or other sources

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.

Application Deadline:

The application window for this position is anticipated to close on Apr-23-2025. 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 $88,000.00 to $122,800.00. 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

• Short and Long Term Disability, Life, and Accidental Death & Dismemberment insurances

• 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 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)

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.

At Discover, we are committed to creating an inclusive and equitable workplace through our Fair Chance Hiring practices. Fair Chance Hiring means that we base our hiring decisions on an applicant’s qualifications rather than their criminal record. All our positions are subject to Section 19 of the Federal Deposit Insurance Act. Our applicants go through a background check, and we follow all applicable local laws, including the Los Angeles County Fair Chance Hiring Ordinance (LA County Fair Chance).

Positions marked as remote eligible are limited to remote locations within the country in which the position is based.

Applicants must be 18 or older at the time of hire.