Data Scientist

quickenloans; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Rocket is seeking a data scientist to analyze and process large data sets, develop predictive machine learning models, and deliver actionable insights to stakeholders. You will identify business problems, apply advanced statistical methods, and collaborate with engineering and product teams to deploy models on our internal data platform.

You will mentor junior data scientists, share best practices for modeling and visualization, and communicate results clearly to non-technical audiences.

Qualifications

• 3 years of experience with large data sets in 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).
• 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.

Responsibilities

• 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.
• 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.
• Test, validate and reformulate models to ensure accurate prediction of outcomes of interest.
• 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

Skills

Hadoop

AWS

Azure

GCP

SQL

Python

C++/Java

Statistical tools

Predictive analytics

Data visualization

Supervised learning

Unsupervised learning

Education

Master's degree in mathematics, statistics, computer science or related field

Tools

Python

SQL

R

Job description

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.

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 accommo