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
The Global Network Analytics (GNA) team within the Payments Services business unit, is seeking a Principal Data Science to lead business intelligence development for high-volume, transactional data. He/ She should be familiar with Data mining, text analysis and Data Warehouse and Cloud Technologies. He/ She would be working on analyzing Network data ( like Authorization, Settlement, Registration, Disputes and other Products) for network growth and future business initiatives. 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.
% TIME Importance Rating
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.
35% 1 - Critical
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,
Education - Minimum-Bachelors Engineering or Statistics
Masters in Analytics or Engineering or Mathematics or Statistics Preferred
4+ years Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/ Data Science or related at minimum.
6+ years Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/ Data Science or related preferred
Strong SQL, SAS, Teradata, Advanced Excel, MS Access, UNIX, Tableau
- BI reporting and analysis
- Data Warehousing concepts, SDLC, testing, and implementation
- Familiarity with Cloud tools, such as Snowflake, Air9, etc.
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.