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.
TITLE: Principal Data Science
DUTIES: Discover Products, Inc. seeks Principal Data Science in Riverwoods, IL to work closely with management to execute analytical initiatives. Provide thought leadership and strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Closely monitor performance metrics and KPI’s to ensure goals are met and course correct as necessary. Provide thought leadership & strategic thinking to translate business problem into analytical framework, 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 opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization. Lead development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Lead development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets. 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 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 Computer Science, Statistics, Mathematics, Sciences or a related field and six (6) years of progressively responsible experience performing data collection, manipulation and analysis utilizing technologies including SAS, SQL and R; performing data analysis and reporting, performing segmentation, statistical procedures and advanced analytics on large volume of data; evaluating quantitative results with business knowledge (preferably finance industry) to independently provide assessment of statistical methodology and recommendation for business solution, communicating quantitative results and findings to senior management. In the alternative, the employer will accept a Master’s degree or equivalent in one of the above fields and four (4) years of experience in all of the above-listed areas.
QUALIFIED APPLICANTS: Please apply directly through our website jobs.discover.com for Job ID R3167 by clicking on “Apply Now.” No calls. Equal Opportunity Employer/disability/vet.
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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.