Senior Data Scientist - Full Stack
To see similar active jobs please follow this link: Remote Development jobs
ABOUT ROCKET MONEY 🔮
Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.
ABOUT THE TEAM 🤝
Data Scientists at Rocket Money advance our mission by building products that strengthen customer relationships across our financial offerings. Our team creates machine learning-driven experiences that identify and engage customers who could benefit from mortgage and personal loan products. We work closely with product and engineering teams to develop features that help customers understand, track, and improve their personal finances. Data Scientists also enhance growth operations through ML-powered personalization during onboarding. We seek team players who excel at cross-team collaboration, use data to shape strategy, and deliver solutions effectively within engineering teams. While Data Scientists primarily focus on model development and data preparation, they also contribute to system architecture, design, deployment, and evaluation.
ABOUT THE ROLE 🤹♀️
Lead end-to-end machine learning and data science product development to power user-facing features and experiences.
Become a subject matter expert within a product vertical and be responsible for leading projects from start to finish — making key decisions on both implementation and scope while balancing technical and business goals.
Design and conduct experiments to estimate the impact of new products, customer messaging, and marketing. Use experimentation to build the strategic case for more tailored ML product experiences.
Work with data engineering and analytics teams to build scalable and durable feature engineering systems.
Optimize to continuous product feedback loops — you understand that machine learning product development is the practice of a continuous lifecycle of measurement, analysis, modeling, and hypothesis testing. You understand how to build, test, and deliver user-facing machine learning products in an incremental way.
Maintain a high technical bar by mentoring junior team members, participating in code reviews, and ensuring quality in production systems.
In this role, you will focus on the following types of problems:
Collaborate closely with Product, Operations, and Engineering teams to define strategy and build user-personalized chatbots.
Uncover and exploit relationships between customers’ subscriptions, purchase, and transaction data as you build personalized product experiences and power ever more accurate customer segmentation, propensity, and affiliate targeting models.
Continuously improve our transaction metadata to power further enrichments such as semantic search, automatic habit creation, and customized categorization.
ABOUT YOU 🦄
6+ years of professional experience in data science, with proficiency in SQL, statistical modeling, and engineering scalable ML solutions. Experience integrating data products into front-end applications and building durable, scalable backend data systems is a plus.
You are a team player with a proven ability to collaborate across teams and communicate technical insights effectively, driving alignment between product strategy and engineering execution.
You care about products, not publications. Solving user problems is of key importance for you, not necessarily finding esoteric problems. We love recovering academics that aren’t looking in the rearview.
You care just as much about why you're solving a problem as the solution. You always want a deep understanding of context and business impact. You are a data scientist first but an expert analyst when necessary.
Excellent writing, presentation, and communication skills. Documenting, soliciting feedback, and securing alignment among collaborators is second nature.
Deep experience in several of the following in a professional capacity: building generative AI applications, recommendation systems, customer segmentation and personalization, A/B testing and causal inference, natural language processing, computer vision, deep learning architectures, anomaly detection, or reinforcement learning.
Experience in fintech, banking, or finance is a plus.
WE OFFER 💫
Health, Dental & Vision Plans
Life Insurance
Long/Short Term Disability
Competitive Pay
401k Matching
Team Member Stock Purchasing Program (TMSPP)
Tuition Reimbursement
Unlimited PTO
Daily Lunch, Snacks & Coffee (in-office only)
Commuter benefits (in-office only)
Additional information: Salary range of $180,000 - $220,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.
Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
About the job
Senior Data Scientist - Full Stack
To see similar active jobs please follow this link: Remote Development jobs
ABOUT ROCKET MONEY 🔮
Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.
ABOUT THE TEAM 🤝
Data Scientists at Rocket Money advance our mission by building products that strengthen customer relationships across our financial offerings. Our team creates machine learning-driven experiences that identify and engage customers who could benefit from mortgage and personal loan products. We work closely with product and engineering teams to develop features that help customers understand, track, and improve their personal finances. Data Scientists also enhance growth operations through ML-powered personalization during onboarding. We seek team players who excel at cross-team collaboration, use data to shape strategy, and deliver solutions effectively within engineering teams. While Data Scientists primarily focus on model development and data preparation, they also contribute to system architecture, design, deployment, and evaluation.
ABOUT THE ROLE 🤹♀️
Lead end-to-end machine learning and data science product development to power user-facing features and experiences.
Become a subject matter expert within a product vertical and be responsible for leading projects from start to finish — making key decisions on both implementation and scope while balancing technical and business goals.
Design and conduct experiments to estimate the impact of new products, customer messaging, and marketing. Use experimentation to build the strategic case for more tailored ML product experiences.
Work with data engineering and analytics teams to build scalable and durable feature engineering systems.
Optimize to continuous product feedback loops — you understand that machine learning product development is the practice of a continuous lifecycle of measurement, analysis, modeling, and hypothesis testing. You understand how to build, test, and deliver user-facing machine learning products in an incremental way.
Maintain a high technical bar by mentoring junior team members, participating in code reviews, and ensuring quality in production systems.
In this role, you will focus on the following types of problems:
Collaborate closely with Product, Operations, and Engineering teams to define strategy and build user-personalized chatbots.
Uncover and exploit relationships between customers’ subscriptions, purchase, and transaction data as you build personalized product experiences and power ever more accurate customer segmentation, propensity, and affiliate targeting models.
Continuously improve our transaction metadata to power further enrichments such as semantic search, automatic habit creation, and customized categorization.
ABOUT YOU 🦄
6+ years of professional experience in data science, with proficiency in SQL, statistical modeling, and engineering scalable ML solutions. Experience integrating data products into front-end applications and building durable, scalable backend data systems is a plus.
You are a team player with a proven ability to collaborate across teams and communicate technical insights effectively, driving alignment between product strategy and engineering execution.
You care about products, not publications. Solving user problems is of key importance for you, not necessarily finding esoteric problems. We love recovering academics that aren’t looking in the rearview.
You care just as much about why you're solving a problem as the solution. You always want a deep understanding of context and business impact. You are a data scientist first but an expert analyst when necessary.
Excellent writing, presentation, and communication skills. Documenting, soliciting feedback, and securing alignment among collaborators is second nature.
Deep experience in several of the following in a professional capacity: building generative AI applications, recommendation systems, customer segmentation and personalization, A/B testing and causal inference, natural language processing, computer vision, deep learning architectures, anomaly detection, or reinforcement learning.
Experience in fintech, banking, or finance is a plus.
WE OFFER 💫
Health, Dental & Vision Plans
Life Insurance
Long/Short Term Disability
Competitive Pay
401k Matching
Team Member Stock Purchasing Program (TMSPP)
Tuition Reimbursement
Unlimited PTO
Daily Lunch, Snacks & Coffee (in-office only)
Commuter benefits (in-office only)
Additional information: Salary range of $180,000 - $220,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.
Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.