This job has expired, please see additional jobs below
Director of Data Science
Quicken Loans
Detroit, MI, United States
Job Details - this job has expired, please see similar jobs below
What You'll Do/Need
The Director of Data Science leads a team of focused individuals working to advance the data foundation at Amrock. We have a high regard for all things data, and our company’s commitment to business intelligence reflects that. This team member is on the cutting edge of new techniques and advancements in the field and is known for devising data strategies that optimize business models. They set the vision and direction for data science practices at Amrock while interacting with teams from around the company and making recommendations about how to align data to desired outcomes. This team member also builds a scalable data structure to support company initiatives.
Responsibilities
• Set the vision and direction – strategically and tactically – for the team
• Challenge the team to drive new solutions and think big
• Embody our culture and model this for the team each and every day
• Coach and develop team members to their full potential and provide career growth opportunities
• Partner with the larger Business Intelligence team to define solutions and deliver value
• Make recommendations for innovative solutions to integrate into our environment
• Identify the areas needed to grow the team in order to support companywide efforts
Requirements
• Experience with data visualization tools and time series
• 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 within a Hadoop environment
• Experience working with R, SAS or other statistical packages
• 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
• Strong communication skills and the ability to share highly detailed information to all audiences
• Ability to listen with focus to the root of the request and connect with Business Intelligence team members as well as peers and business partners
• Ability to be adaptable with regard to the work approach and the strategy of the team
• Demonstrated ability to form strong business partnerships and make effective decisions