We’re constantly innovating the mortgage industry, so we’re constantly looking for flexible, curious minds that thrive when collaborating to solve complex problems.
And once those problems are solved, they’re ready for whatever’s next.
On the Technology team, when you’re not busy revolutionizing the mortgage industry with the technology that you create, you’ll get personal time each week to work on whatever tech projects you want.
If you’re ready to transform an industry and transform your career, we want to hear from you.
What You'll Do/Need
The Harvard Business Review characterized “Data Scientist” as the “Sexiest Job of the 21st Century,” and with good reason. Perhaps no other position in today’s technology landscape is so central to the transformation of how business is done. If data is the vehicle that unlocks new frontiers of business capability in the Information Age, Data Scientists are the drivers. At Quicken Loans, we rely on Data Scientists to unleash the potential of machine learning, Big Data and modeling to solve critical business challenges that give us a competitive edge.
Leverage their knowledge of programming, mathematics and computer science to transform the way our company does business.
Translate business opportunities into data-driven machine learning, predictive analytics, and Big Data solutions that revamp our processes or produce data products
Maintain relationships between business-area clients, business intelligence and IT so all teams are aligned to meet team objectives
Develop predictive and prescriptive statistical or behavioral models
Develop and collect data for ad hoc and statistical analyses
Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models
Work with Project Managers to develop detailed project timelines
Summarize and present conclusions and solutions
Communicate complex analyses clearly to all audiences
Master’s degree or above in computer science, statistics, applied mathematics, operations research, engineering, economics, social sciences or a similar field
Four years of experience providing predictive and prescriptive analytics within a business setting
One year of data-science implementation experience within a business setting
Advanced experience with statistical, econometric or data-mining tools and methods
Experience with linear models (linear regression, generalized linear regression, logistic regression), and nonlinear modeling techniques
Knowledge of advanced nonlinear techniques, including smoothing and ensemble methods
Working knowledge of relational databases and standard SQL query methods
Proficiency in at least one general programming language such as Python, Java or C/C++
Experience working with big data, preferably within a Hadoop environment, or with R, SAS or other statistical packages
Experience with data visualization tools and time series
What You'll Get
Excellent benefits package that includes a 401(k) match, medical/dental/vision, and much more
Opportunities to participate in professional and personal development programs, including personal empowerment coaching, leadership training and ongoing personal growth training
Other incentives, contests and rewards, including trips, event tickets, cash prizes and more
Why We're Different
Corporate politics not your strong suit? The anti-corporate culture of Quicken Loans gives our team members the initiative to build solutions together and grow both personally and professionally. At Quicken Loans, we’re in the business of putting roofs over our clients’ heads, but we certainly aren’t putting ceilings on our team members’ careers. If you’re interested in working in a place with a philosophy that’s truly different, apply today.
Quicken Loans is an equal opportunity employer.
Quicken Loans received the highest numerical score in the proprietary J.D. Power 2010 – 2016 Primary Mortgage Origination studies and the 2014 – 2016 Primary Mortgage Servicer studies. 2016 Origination (or Sales) based on 5,182 total responses and measures experiences and perceptions of consumers who originated a new mortgage, surveyed in July – August 2016. 2016 Servicing based on 7,542 total responses and measures experiences and perceptions of consumers with their current mortgage servicer, surveyed in March – April 2016. Your experiences may vary. Visit JDPower.com.