Lead Data Science Analyst - 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: Lead Data Science Analyst
DUTIES: Discover Products Inc. seeks Lead Data Science Analyst in Riverwoods, IL to 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. 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. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Establish and maintain effective performance tracking, identify improvement opportunities, form hypothesis, and propose, design, and implement tests to drive strategy enhancement and optimization. Manage multiple priorities and communicate business performance and project progress to management and business partners. Develop and automate reports and iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitate implementation of work product and ensure accuracy. 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 Data Analytics, Statistics, Finance, Business Administration, or a related field and four (4) years of experience in the job offered or related occupation: building machine learning models such as predictive modeling, decision trees, and classification models to identify profitable marketing opportunities using Python; performing statistical analysis, including regression modeling, a/b testing, and significance testing to increase marketing campaign efficiency; performing data visualization using Tableau to identity trends and provide compelling insight stories to stakeholders; automating web scraping processes to collect competitor data for analytics using Python; working with large-scale and complex data from multiple data sources using Teradata and Snowflake; and conducting ROI and benefit analysis to support decision making processes. In the alternative, the employer will accept a Master’s degree or foreign equivalent in the above listed fields and two (2) 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.