Data Scientist

Rocket Mortgage•Detroit, MI

About The Position

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

Requirements

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

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
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