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As the 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. The Data Scientist delves 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.
About the role
Analyze, manipulate and process large sets of data
Develop predictive/machine learning 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
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
Partner with machine learning engineers on 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 associate data scientists
About you
3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP
3 years of experience with statistical and data mining tools and methods
3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs)
3 years of experience working with SQL
3 years of experience in Python and at least one strongly typed language (e.g., C++, Java, etc.)
3 years of experience with statistical packages
3 years of experience providing predictive and prescriptive analytics in a business setting
Master’s degree 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
What you’ll get
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.
About us
Rocket 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. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.
This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment 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. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.
The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $97,000.00-$207,000.00. The position may also be eligible for an annual bonus, incentives, 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 the company’s current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews 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. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.
