Performs exploratory data analysis, feature engineering, predictive and prescriptive modeling, statistical testing, visualization, and business problem solving. Develops, validates, and deploys models in partnership with engineering and product teams, improves data sources and internal data platforms, communicates findings to stakeholders, and mentors associate data scientists.
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
About you
What y ou'll g et
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 u s
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 c ompany 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 c ompany 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 [email protected] .
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.
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 y ou'll g et
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 u s
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 c ompany 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 c ompany 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 [email protected] .
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.
Similar Jobs at Rocket Companies
Fintech • Real Estate • Sales • Financial Services
Leads end-to-end product design for customer-facing digital experiences, including UX/UI design, research, prototyping, validation, implementation, and optimization. Partners with Product, Engineering, Marketing, Brand, Content, and SEO teams to improve acquisition, engagement, and conversion. Uses AI-assisted design workflows, analytics, experimentation, and design systems to create scalable experiences. Mentors designers, facilitates critiques, and advocates for accessible, customer-centered design.
Top Skills:
A/B TestingClaude CodeClaude DesktopDesign SystemsFigma Make
Fintech • Real Estate • Sales • Financial Services
Write direct-response copy for web, email, paid social, paid search, and direct mail. Develop lifecycle campaigns, optimize content for SEO and conversion, maintain brand consistency, apply testing insights, and collaborate with marketing, product, creative, engineering, and legal teams. Support press releases, media relations, and earned media initiatives while proofreading and delivering projects on schedule.
Top Skills:
A/B TestingConfluenceFigmaMondaySemSeoWrike
Fintech • Financial Services
Design, build, and operate hybrid/multi-cloud and on-prem platform infrastructure. Lead cross-team initiatives, automate via IaC/CI-CD, apply AI tools for operations, implement observability and security best practices, provide tier-3 support and on-call coverage, and create reusable platform patterns and self-service capabilities for data and analytics workloads.
Top Skills:
.NetAi CopilotsArtifact ManagementAWSAzureBashBicepChatopsCi/CdCloudFormationConfluenceDirect ConnectDockerExpressrouteGCPGoIdentity ManagementJIRAKubernetesLinuxLlmsMetricsMS OfficeNasNvme-OfObservability (LogsPackagingPolicy-As-CodePowershellPrivatelinkPythonSanSd-WanSecrets ManagementSlosSource ControlTerraformTraces)Transit GatewayVpnWindows
What you need to know about the Calgary Tech Scene
Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.
