Senior Data Scientist

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:

• 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 and conversion propensity models that will help us understand the best ways to serve different types of users and convert them into affiliate products and services.

• 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 purchase and transaction data to better deliver personalized product experiences and power ever more accurate customer segmentation propensity and ad targeting models.

• Design and conduct experiments to estimate the impact of new products customer messaging and marketing.

• Work alongside our product and marketing teams to understand our members’ product usage predict our customers’ lifetime value and estimate user retention.

• In collaboration with engineering product and design teams work to implement new user-facing features and experiences. Use your expertise in ML system and model design to delight our customers with new user experiences.

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.

• Work collaboratively in cross-functional teams to deliver new products and services.

• 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.

• Use your expertise in ML system and model design to aid product delivery both internal and external.

• 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.

• Build internal tooling that improves the data science and ML implementation - help accelerate the work of others.

• Maintain a high technical bar - participate in code reviews contribute to product and technical design maintain a high degree of quality in our production data and mentor junior team members.

ABOUT YOU 🦄

• You are a team player - collaboration and communication are a first instinct and key tool for getting stuff done. You continually seek feedback on your work.

• You know how to work at a strategic level - you can collaborate with stakeholders to define new projects and initiatives for yourself and others.

• Excellent writing presentation and communication skills. Documenting recruiting for feedback and securing alignment among stakeholders is second nature.

• 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 are equally adept at hacking together proof of concepts and working with engineering teams to build scalable durable systems.

• 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 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.

• Deep 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 building generative AI applications in consumer software.

• You find yourself building tools to help others solve their problems and follow a philosophy of continuous improvement and automation.

• 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 $160000 - $200000/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.