Compensation Overview

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to empower people to live their best financial lives. 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 further our mission by working to understand and deepen customer relationships with our many financial products. Our team builds models that identify and engage customers who would benefit from mortgage and personal loan products. We work with our product and engineering teams to understand, explain, and predict retention. Data Scientists also support growth operations by designing marketing tests, building growth efficiency estimation models, and modeling user lifetime value. We have a strong preference for team players that are comfortable collaborating across teams, know how to shape strategy with data, and can deliver solutions in conjunction with product and engineering teams.

ABOUT THE ROLE 🤹‍♀️

In this role, you will focus on the following types of problems:

• Work alongside our product and marketing teams to understand our members’ product usage, predict our customers’ lifetime value, and estimate user retention
• Optimize to continuous product feedback loops - you understand that data science is the practice of a continuous lifecycle of measurement, analysis, modeling, and hypothesis testing
• Create customer segmentation models that will help us understand the best ways to serve different types of users
• Help develop the next version of Autopilot and Budgets - ensure members have money in the right place at the right time for their near and long term goals; warn them when they do not
• Uncover and exploit relationships between customers’ subscriptions and purchase data to better deliver personalized product experiences
• Design and conduct experiments to estimate the impact of new products, customer messaging, and marketing

Regardless of the challenges you dive into, you will:

• Become a subject matter expert in your area of specialty and be responsible for leading projects from start to finish - making key decisions on both implementation and scope while balancing technical and business goals
• Become an expert on our members - understand their needs and financial goals; work with product and engineering teams to build features that help our members build better financial lives
• Be a steward of good instrumentation and experimental design - designing analyses, models, and products in a way that is measurable, testable, repeatable, and robust. You will advocate for experimental approaches in everything that we do
• Maintain a high technical bar - participate in code reviews, contribute to product and technical design, and maintain a high degree of quality in our production data

ABOUT YOU 🦄

• You have 6+ years of professional experience working in a data science capacity. You know your way around databases, data warehouses, and at least one programming language. You can hack together proof of concepts, but also work with engineering teams to build scalable, durable systems
• You have excellent writing, presentation, and communication skills. Documenting, recruiting for feedback, and securing alignment among stakeholders is second nature
• You are a team player and know how to work at a strategic level - you can collaborate with stakeholders to define new projects and initiatives for yourself and others
• You embrace the player/coach mindset - you take care to mentor and develop others when leading projects. You’ve helped junior data scientists grow in their careers
• You find yourself building tools to help others solve their problems and follow a philosophy of continuous improvement and automation
• 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 business analyst when necessary
• You have experience in one or more of the following in a professional capacity: customer modeling/segmentation, time series modeling, natural language processing and classification, design of experiments, machine learning applied to consumer products
• You want to continue to grow and learn - you are excited by hard problems and big challenges
• Experience in fintech, banking or finance is a plus

WE OFFER 💫

• Health, Dental & Vision Plans
• Competitive Pay
• Matching 401k
• Unlimited PTO
• Lunch daily
• Snacks & Coffee
• Commuter benefits

Additional information: Salary range of $160,000 - $200,000/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.