
10,000+ employees
Founded 1985
💸 Finance
💳 Fintech
🏠 Real Estate
Finance • Fintech • Real Estate
Rocket Mortgage is a leading online mortgage lender that simplifies the home buying and refinancing process for consumers. It offers a variety of mortgage options, including fixed-rate, adjustable-rate, FHA, and VA loans, with tools and calculators to help clients understand their financial needs. With a focus on providing a smooth user experience and various promotional offers, Rocket Mortgage is dedicated to making homeownership more accessible and affordable.
🕒 July 27
🚗 Michigan – Remote
💵 $128.5k - $276k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
👻 Ghost score 10%
Improve your chances of getting an interview by checking your resume score before you apply.

10,000+ employees
Founded 1985
💸 Finance
💳 Fintech
🏠 Real Estate
Finance • Fintech • Real Estate
Rocket Mortgage is a leading online mortgage lender that simplifies the home buying and refinancing process for consumers. It offers a variety of mortgage options, including fixed-rate, adjustable-rate, FHA, and VA loans, with tools and calculators to help clients understand their financial needs. With a focus on providing a smooth user experience and various promotional offers, Rocket Mortgage is dedicated to making homeownership more accessible and affordable.
• Lead and mentor a team of data scientists on performance, growth, production, and day-to-day responsibilities • Partner across business and technology organizations to align on priorities, influence strategy, and execute against a shared vision • Query, analyze, and summarize large and complex datasets to drive business strategy and decision-making • Apply statistical analysis, machine learning, and predictive modeling techniques to solve business problems • Support the development and scaling of internal and user-facing data products • Work with team members and stakeholders to translate business processes and challenges tractable data science problems • Monitor the performance of implemented solutions and conduct recurring evaluations to identify opportunities for improvement • Generate simulations, experiments, and what-if analyses to support strategic decision-making • Pull and create reports necessary to support the team and senior leadership in tracking strategic goals and outcomes • Communicate effectively with both technical and non-technical audiences, translating complex concepts into actionable insights • Help shape and evolve best practices, standards, and processes across the Data Science organization • Communicate and embody the culture and mission of the company
• 3 years of experience in a related field • 2 years of experience in management and administration • Bachelor’s degree in computer science, statistics or a related field • Proficiency in the Microsoft Office suite • Proficiency in Python • Proficiency in SQL, noSQL and ElasticSearch • Knowledge of Statistics, Natural Language Processing (NLP), and machine learning
• Medical, dental, and vision benefits • 401K retirement plan • Paid-time off • Annual bonus • Incentives
Apply Now🕒 July 27
Data Analytics Lead defining KPIs and analytical infrastructure for Cadence's AI-driven healthcare solutions. Collaborating with various teams to enhance care delivery through data insights.
🕒 July 27
Applied Data Scientist at Innodata specializing in health AI evaluation and datasets. Collaborating with technical experts to ensure data quality and clinical validity in healthcare projects.
🕒 July 27
Applied Data Scientist at Innodata designing datasets for evaluating financial AI systems in high-stakes environments. Collaborating with cross-functional teams to ensure data quality and compliance.
🕒 July 27
People Analytics Lead dedicated to building the infrastructure for people strategy at Ascend Partner Services. Managing AI-driven people analytics and influencing stakeholders across 20+ firms.
🕒 July 27
Senior Data Scientist providing analytical leadership and machine learning oversight for federal projects. Collaboration with data architects, engineers, and stakeholders for secure predictive models in AWS GovCloud.