Responsible AI Data Scientist

Role: Data ScientistCompany: Quicken Loans

Job description

**Overview:** As a Responsible AI Data Scientist at The Rock Family of Companies, you will leverage your expertise in data analysis, machine learning, statistical modeling, and generative AI to develop and implement frameworks as part of the company's responsible AI function. You will collaborate closely with model developers and other partners to ensure our AI-driven solutions comply with regulatory requirements and best practices in responsible AI. **Responsibilities:** • Design and implement metrics and testing methodologies to evaluate AI systems for responsible AI considerations • Research and implement state-of-the-art techniques in responsible AI • Perform disparate impact analysis on existing and new machine learning models • Audit existing and new machine learning models for model performance, impact and reliability • Develop tools for model developers to standardize model development lifecycle • Write new functions or applications to conduct analyses • Create and maintain documentation for model governance and regulatory compliance • Collaborate with business stakeholders to translate governance requirements into technical specifications • Contribute to the development of company-wide responsible AI guidelines and best practices • Mentor team members on responsible AI practices and methodologies • Apply sampling techniques to create representative datasets for model evaluation • 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 model evaluation and data analysis to stakeholders • Communicate analyses, conclusions and solutions clearly to all audiences • Develop and evangelize best practices for model development, evaluation and maintenance • Drive the collection of new data and the refinement of existing data sources related to Responsible AI practices • Mentor and train associate data scientists • *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 • Experience with model explainability techniques • 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 • *Benefits:** 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

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 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

• Experience with model explainability techniques

• 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

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Job Type

Fulltime role

Skills required

Azure, Python, C++, Java

Location

Detroit, Michigan

Salary

No salary information was found.

Date Posted

June 10, 2025

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