Description
Amrock, LLC, a Rocket Companies® entity, is a leading national provider of title insurance, property valuations and settlement services. Here, you’ll be given all the resources and support needed to deliver innovative solutions and in turn, your hard work will be rewarded with a competitive compensation package and an array of other amazing benefits.
Apply today and see how Amrock can help you propel your career!
Minimum Qualifications
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 working in a UNIX environment
3 years of experience in at least one scripting language (e.g., BASH)
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
Job Summary
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.
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
Own 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
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 offer opportunities to all job seekers including individuals with disabilities and provide reasonable accommodation to qualified individuals with disabilities in accordance with state and federal law. If you need a reasonable accommodation to assist with your job search, application for employment, or interview, please visit our FAQ page at www.myrocketcareer.com/how-we-hire/faqs/ for details on how to contact our team.