Principal Data Science (multiple openings) - IHM

 River Forest, Riverwoods, United States

 Full Time

 $131,498 - $177,300 a year

Job Details

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: Principal Data Science (multiple openings) Job Location: Riverwoods, IL Job Type: Full Time Duties: Provide thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operate 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. Requirements: Employer will accept a Bachelor's degree in Analytics, Engineering (any), Statistics, Mathematics, Finance or in a related field and 6 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 (any), Statistics, Mathematics, Finance or in a related field and 4 years of experience in the job offered or in a Data Science Analyst-related occupation. Position required skills: Six (6) years of experience in the following with a Bachelor’s degree, OR Four (4) years of experience in the following with a Master’s degree: Perform statistical analysis, test and design of experiment, analysis methodology, modeling and application, and financial impact analysis using SAS, SQL and Statistical techniques; Lead the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm leveraging SAS, SQL and Statistical techniques; Analyze marketing channel performance, establish KPI’s for program performance and eliminate friction points between customers and products using Excel; Use Tableau visualization to present storylines around test performance, build P&L statements for specific offers based on portfolio segment performance using Tableau and Excel; Deliver presentations of findings and recommendations to leadership, creating visual displays of quantitative information by creating slides in MS PowerPoint. Position eligible for incentives under Employee Referral Program Rate of Pay: The base pay for this position generally ranges between $131,498.00 to $177,300.00. 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 Feb-12-2024. 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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