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Lead Data Science Analyst (Multiple openings) - IHM
Lead Data Science Analyst (Multiple openings) - IHM-June 2024
Riverwoods
Jun 16, 2025
ABOUT DISCOVER
Make a difference working in a culture that thrives on customer-focused innovation.
10,000+ employees
Financial Services
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About Lead Data Science Analyst (Multiple openings) - IHM

  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, Illinois

  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 is permissible pursuant to company policies.

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

  Position required skills: Four (4) years of experience in the following, if applying with a Bachelor's degree in one of the above-listed fields. Alternatively, two (2) years of experience in the following, if applying with a Master's degree in one of the above-listed fields: statistical computer languages including R, Python, and SQL to manipulate data and draw insights from large data sets; researching and analyzing data by querying large data sets using SQL and SAS; building reports and dashboards using Power BI, Tableau, Power Pivot, and MS Excel; advanced Excel skills including pivots, charts, VLOOKUPs, intricate formulas, conditional formatting, data tables, and PowerPivot; and Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling, or Data Science.

  Position eligible for incentives under Employee Referral Program.

  Rate of Pay: The base pay for this position generally ranges between $110,594.00 to $140,000.00. 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. 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." No calls. Equal Opportunity Employer/disability/vet.

  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)

  Application Deadline:

  The application window for this position is anticipated to close on Dec-11-2023. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed.

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