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:

Employer:            Discover Products Inc.

Job Title:              Lead Data Science Analyst (multiple openings)

Job Location:       Riverwoods, IL

Job Type:              Full Time 

Duties: 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. Telecommuting and/or working from home may be permissible pursuant to company policies. Position requires 10% domestic travel.

Requirements: Employer will accept a Bachelor's degree in Analytics, Engineering, Statistics, Mathematics, Economics, or related field and 4 years of experience in the job offered or in a Data Science Analyst-related occupation. Alternatively, employer will accept a Master’s degree in Analytics, Engineering, Statistics, Mathematics, Economics and 2 years of experience in the job offered or in a Data Science Analyst-related occupation.

Position required skills: Position requires experience in the following: Building analytical datasets and reports from structured and unstructured data, including external vendor data sources, using Teradata, Oracle, and Snowflake SQL; Researching business processes and its mapping to various data tables, using scripting code including window functions, recursive CTEs, and encrypted text mining; Creating user-independent analytical scripts to automate data pipelines & KPIs tracking through SAS, R, Python, Snowflake, Teradata, UNIX, GitHub, Airflow, AWS Air9, S3, EC2; Designing tabular and graphical dashboards using Tableau for audiences across the technical spectrum; Developing E2E predictive machine learning models using SAS EM, SAS FM, decision trees, hypothesis testing, customer segmentation, optimization, financial impact analysis; Advanced data analytics in SAS, Snowflake, R, Python, H2O, Air9, Airflow, GitHub, Tableau, Excel Macros, Pivot Tables, Vlookup, and Graphs; Analyzing customer-company interactions through Orion/Verint and business case presentations to leadership; Maintaining documentation of the processes and changes using Blueworks/GitHub to actively manage risk and cross-functional collaboration.

Position eligible for incentives under Employee Referral Program 

Rate of Pay: The base pay for this position generally ranges between $116,334 to $177,300. 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. We also offer a range of benefits and programs based on eligibility. Learn more at MyDiscoverBenefits.com. 

QUALIFIED APPLICANTS: Please apply directly through our website by clicking on “Apply Now.”

Application Deadline:

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.