Senior Data Scientist

Rocket Mortgage, backed by Rocket Companies®, means more opportunities for you to carve your own career path forward. From our desire to revolutionize the way people get mortgages to addressing challenges big or small with outside-the-box solutions, we’re not your typical employer. We’ll provide you with everything you need to make sure you’re successful here.

As a Technology team member, you’re empowered to make an impact, employ your entrepreneurial spirit and build a career customized by you because at Rocket, you can. We are creating digital products that solve life’s most complex moments. You’ll get the chance to shape the future of tech, have your voice heard, get ahead in your career and develop your skills. With a tech career here, there's no limit to what you can achieve.

Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.

Minimum Qualifications

• 5 years of experience working with large data sets in one or more of the following environments: Hadoop, AWS, Azure and/or GCP
• 5 years of experience with statistical and data mining tools and methods
• 5 years of experience with supervised models (e.g. regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs)
• 5 years of experience working with SQL
• 5 years of experience working in a UNIX environment
• 5 years of experience in at least one scripting language (e.g. BASH)
• 5 years of experience in Python and at least one strongly typed language (C++, Java, etc)
• 5 years of experience with statistical packages
• 5 years of experience providing predictive and prescriptive analytics in a business setting
• PhD in mathematics, statistics, computer science or a related field or equivalent experience
• Advanced understanding of data visualization libraries
• Advanced understanding of statistical methodologies for modeling and business analytics

Job Summary

As a Senior Data Scientist, you'll be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for business leaders. You'll delve into the recesses of large data sets of structured, semi-structured and unstructured data to discover hidden knowledge about our business and to develop methods to leverage that knowledge within our line of business.

Responsibilities

• Analyze, manipulate and process large sets of data
• Develop predictive and prescriptive statistical models from large sets of structured and unstructured data
• Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models
• Develop machine learning algorithms
• Apply feature selection algorithms to models predicting outcomes of interest
• Apply sampling techniques to determine groups to be surveyed
• Compare models using statistical performance metrics, such as loss functions or proportion of explained variance
• Create graphs, charts or other visualizations to convey the results of data analysis
• Deliver oral or written presentations of the results of mathematical modeling and data analysis to stakeholders
• Identify business problems or leader objectives that can be addressed through data analysis
• Identify relationships and trends or any factors that could affect the results of research.
• Identify and propose solutions to business problems using the results of data analysis
• Test, validate and reformulate models to ensure accurate prediction of outcomes of interest
• Write new functions or applications to conduct analyses
• the deployment of applicable models for business projects
• Communicate analyses, conclusions and solutions clearly to all audiences
• Sequence the steps involved to deliver a working model, estimate the timelines for the completion of work and communicate this information to the project manager
• Advise project teams on application improvements that will result in enhanced predictive and prescriptive models
• Develop and evangelize best practices for statistical or behavioral models
• Drive the collection of new data and the refinement of existing data sources
• Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses
• Mentor and train other data scientists

Benefits and Perks

Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We’ve got your back. Check out our full list of Benefits and Perks.

Who We Are

Rocket Companies® is a Detroit-based company made up of businesses that provide simple, fast and trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage®, which was founded in 1985. Today, we’re a publicly traded company involved in many different industries, including mortgages, fintech, real estate and more. We’re insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. We’re passionate about the work we do, and it shows. We’ve been ranked #1 for Fortune’s Best Large Workplaces in Financial Services and Insurance List in 2022, named #5 on People Magazine’s Companies That Care List in 2022 and recognized as #7 on Fortune’s list of the 100 Best Companies to Work For in 2022.

Disclaimer

This is an outline of the primary responsibilities of this position. As with everything in life, things change. The tasks and responsibilities can be changed, added to, removed, amended, deleted and modified at any time by the leadership group.

We are proud equal opportunity employers and committed to providing an inclusive environment based on mutual respect for all candidates and team members. Employment decisions, including hiring decisions, are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. We also provide reasonable accommodation to qualified individuals with disabilities in accordance with state and federal law. 

Colorado, New York City, California, and Washington Candidates Only. The salary range for this position is ninety-three thousand five hundred dollars to one hundred ninety-five thousand five hundred dollars. The position may also be eligible for an annual bonus and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is only an estimate and is subject to revision from time to time as the Company, in its sole and exclusive discretion, deems appropriate. The Company may determine during its review of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position.