About This Role
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:
If you are a motivated and experienced data scientist in the Card 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 Data Science candidates to join our team to provide data-driven solutions to the Pricing and Portfolio Analytics division of the Discover Global Network. You will be responsible for working with junior data analyst, collaborating with cross-functional teams, and working with stake holders to analyze and interpret large sets of data to provide data-driven insights to a broad base of customers in Pricing and Products. You will be responsible to identify opportunities for data-driven insights and provide recommendations to drive business growth and strategy.
Responsible for working closely with management to execute analytical initiatives. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary. Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management.
Responsibilities

• Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. 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. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.
• Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company.
• Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
• Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.
• 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.
• 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 maintain self-servicing solutions to visualize and communicate data insights.
• Perform ad-hoc analysis to support business decisions and strategy.
• Mentor junior data scientists in the team

Minimum Qualifications
At a minimum, here's what we need from you:

• Bachelor's Degree in Analytics, Engineering, Statistics, or related field
• 6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science, or related field

Preferred Qualifications
If we had our say, we'd also look for:

• Master's Degree in Analytics, Engineering, Mathematics, Statistics, or related field
• 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science, or related field
• Excellent communication skills and ability to translate complex data concepts to both technical and non-technical business stakeholders
• Strong problem-solving skills and ability to work in a fast-paced environment
• Strong proficiency in SQL and Excel
• Experience in data visualization tools such as Tableau
• Experience in Payments Network Applications like Authorization, Pricing, Settlement
• Strong understanding of statistical modeling and machine learning techniques

#li-cs1
Compensation:
The base pay for this position generally ranges between $123,500.00 to $173,100.00. 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)