Principal Data Science-IHM


Job Overview

Discover. A brighter future. With Discover, you’ll have the chance to make a difference at one of the world’s leading digital banking and payments companies. From Day 1, you’ll do meaningful work you’re passionate about, with the support and resources you need for success. We value what makes each employee unique and provide a collaborative, team-based culture that gives everyone an opportunity to shine. Be the reason millions of people find a brighter financial future, while building the future you want, here at 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 experiment, analysis, methodology, modeling and application, and financial impact analysis. Collaborate with cross-functional partners to understand their business needs, 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 hypotheses, 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 algorithm and recommendations to solve business problems. Lead the development of analytical capabilities with the aim of creating long-term strategic data and 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, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Consistently follow standard work processes and documentation requirements. Recommend improvement to work processes to increase efficiency while maintaining quality of work. Continuously improve technical and leadership skills through training and development. Promote a risk-aware culture, ensure efficient and effective risk and compliance management practices by adhering to required standards and processes. REQUIREMENTS Bachelor’s degree or foreign equivalent in Analytics, Engineering (any), Statistics, Mathematics, Computer Science or a related field and six (6) years of progressively responsible experience in the financial industry performing in-depth financial statistical analysis of business data using linear regression, hypothesis testing, sample size calculation, decision tree and other data mining tools identifying trends or developments that may impact business plans or performance utilizing analytical tools such as SAS, SQL, and Excel to conduct analytical and financial analysis participating in business management and formulating business recommendations. In the alternative, the employer will accept a Master’s degree or foreign equivalent in one of the above-listed fields of study and four (4) years of experience in the above-listed skills. QUALIFIED APPLICANTS Please apply directly through our website for Job ID R2478 by clicking on “Apply Now.” No calls. Equal Opportunity Employerdisabilityvet. 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) httpswww1.eeoc.govemployersposter.cfm . 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.Principal Data Science-IHM 1

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