Location: Dallas, TX, United States
Req ID: 014266
Ready to be a Cooper too? This might just be right up your alley!
We’re here to keep the dream of home ownership alive. Oh, and while we’re at it, we’re determined to change the lending industry itself. It’s simple, but it won’t be easy. And we’ll need a great team behind us. (That’s where you come in.) We want to show the world that transparency, candor and collaboration aren’t just good values. They’re good business. Working here isn’t for people who want to punch a clock. It’s for people who want to punch a hole in the status quo. Come join us. And make a difference instead of just a living.
The Chief Data Scientist is responsible for analytics strategy and execution. This includes the conception, construction, deployment, and maintenance of analytics internally developed by the Company. The Chief Data Scientist manages analytics systems architecture.
Essential Duties and Responsibilities
Required Knowledge, Skills and Abilities
Education and Experience
Mr. Cooper is committed to nurturing a diverse and inclusive environment where every employee is empowered to be their authentic self. We know that a large part of our success as a business is directly tied to our ongoing efforts to attract and retain diverse talent and maintain an inclusive environment where each employee can thrive. Embracing and leveraging diversity through an inclusive work environment fosters new ideas, new insights, and constant innovation. We strive to weave the principles of diversity and inclusion throughout the fabric of how we work, how we interact, and how we engage with our customers and the community.
Job Requisition ID:014266
Job Category:Information Technology
Primary Location City:Dallas
Primary Location Region:Texas
Primary Location Postal Code:75019
Primary Location Country:United States of America
Line of Business:
Additional Posting Location(s):
SummaryIdentifies business trends and problems through complex big data analysis, preparation of big data, and implements data models and develops database to support the business solutions. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complete data mining independently. Designs, develops and implements the most valuable business solutions for the organization.