Lead Data Science Analyst

Discover. A brighter future. With us, youll 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: What Youll Do If you are a motivated and experienced data analyst in the Payments Network who is passionate about collaborating with teams and driving business growth through data-driven solutions, we encourage you to apply. We are seeking experienced candidates to join our team to provide data-driven solutions to the Counterparty restitution analytics & Pricing division of the Discover Global Network. You will be responsible for collaborating with cross-functional teams and working with stakeholders to analyze and interpret large sets of data to provide data-driven insights to a broad base of customers in the Counterparty restitution, Pricing and Products. Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights. Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management. How Youll Do It Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Collaborates 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. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization. Manages multiple priorities, communicate business performance and project progress to management & business partners. Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure. Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development. Continuously improves technical and leadership skills through training and development. Communicate complex data concepts and results to both technical and non-technical audiences. Stay up to date with industry trends and advancements in data science/data analytics technologies and techniques. Support automation by developing and maintaining self-service solutions to visualize, monitor and communicate data insights. Perform ad-hoc data, variance and financial analyses to support business decisions and strategy. Qualifications Youll Need The Basics Bachelor's Degree in Analytics, Engineering, Statistics or related. 4 years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related. Physical and Cognitive Requirements The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable a qualified individual with disabilities to perform the essential functions of the position as required by federal, state, and local laws: Primarily remain in a stationary position. No required movement about the work environment to complete the major responsibilities of the job. Primarily performed indoors in an office setting. Ability to operate office equipment such as but not limited to computer, telephone, printer, and calculator. Ability to communicate verbally.; Ability to communicate in written form. Bonus Points If You Have Masters in Analytics, Engineering, Mathematics, Statistics. 2 years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related Experience in Payments Network Applications like Merchant/Acquirer/Issuer Settlement & Pricing and Authorization Excellent communication & problem-solving skills and ability to translate complex data concepts to both technical and non-technical business stakeholders Strong proficiency in SQL (snowflake), excel and experience in data visualization tools such as Tableau Understanding of restitution and proactive monitoring techniques Discover will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States on a full-time basis. LI-LG1 Application Deadline: The application window for this position is anticipated to close on Dec-01-2024. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed. Compensation: The base pay for this position generally ranges between $105,500.00 to $147,100.00. 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. Benefits: We also offer a range of benefits and programs based on eligibility. These benefits include: Paid Parental Leave Paid Time Off 401(k) Plan Medical, Dental, Vision, & Health Savings Account STD, Life, LTD and AD&D Recognition Program Education Assistance Commuter Benefits Family Support Programs Employee Stock Purchase Plan Learn more at mydiscoverbenefits.com. 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 & Pay Transparency Nondiscrimination Provision) Discover complies with federal, state, and local laws applicable to qualified individuals with disabilities and is committed to providing reasonable accommodations. If you require a reasonable accommodation to search for a position, to complete an application, and/or to participate in an interview, please email HireAccommodationdiscover.com.Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation.