Principal Data Science - IHM at Discover
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
TITLE: Principal Data Science
DUTIES: Discover Products Inc. seeks Principal Data Science in Riverwoods, IL to provide thought leadership and strategic thinking to translate business problems into analytical frameworks, and independently recommend actions and provide business insights. Operate as a Subject Matter Expert on statistical analysis, test and design of experiments, analysis methodology, modeling and applications, and financial impact analysis. Collaborate with cross-functional partners to understand their business needs and formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establish and maintain effective performance tracking, identify improvement opportunities, form hypothesis, and propose, design, and implement tests to drive strategy enhancement and optimization. Lead the development and implementation of advanced analytics, including customer segmentation, optimization, prescriptive analytics and machine learning algorithms, and make recommendations to solve business problems. Lead the development of analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Develop and automate reports and iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Follow standard work processes and documentation requirements. Recommend improvements to work processes to increase efficiency while maintaining quality of work. Improve technical and leadership skills through training and development. Promote a risk-aware culture to ensure efficient and effective risk and compliance management practices by adhering to required standards and processes.
REQUIREMENTS: Bachelor’s degree or foreign equivalent in Statistics, Operations Research, Economics, Mathematics, or a related quantitative field and six (6) years of progressively responsible experience in job offered or related position: performing statistical analysis of business data using linear regression, hypothesis testing, sample size calculation, decision tree, and other data mining techniques, including random forest; and extracting and manipulating data utilizing SAS programming, R, SQL programming, and Excel, including pivot tables and charts. One (1) year of experience must include providing quantitative analytical support to consumer finance industry; working in Unix/Linux environments; and presenting analyses to business partners using Tableau and PowerPoint. In the alternative, the employer will accept a Master’s degree or foreign equivalent in one of the above-listed fields and four (4) years of experience in the above-listed skills.
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!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.