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.
Data Scientists at Rocket Money further our mission by building data products that deepen customer relationships with our many financial products. Our team builds machine learning driven product experiences that identify and engage customers who would benefit from mortgage and personal loan products. We integrate with product and engineering teams to understand, explain, predict, and intervene to improve product retention. Data Scientists also support growth operations by designing ML driven personalization experiences in onboarding. 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 within engineering teams.
In this role, you will focus on the following types of problems:
- Build new, machine learning powered user-facing features and experiences in deep collaboration with engineering, product, and design teams. Use your expertise in ML system and model design to delight our customers with new user experiences. Work with engineering teams to build software to deliver new experiences to Rocket Money’s customers.
- 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. You understand how to build, test, and deliver user-facing data science products in an incremental way.
- 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 as you build personalized product experiences and power ever more accurate customer segmentation, propensity, and affiliate targeting models.
- Design and conduct experiments to estimate the impact of new products, customer messaging, and marketing. You know how to use experimentation to build the strategic case for more tailored ML product 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 build new products and services.
- Become an expert on our members. Understand their needs and financial goals. Work with product to define strategy and engineering teams to create software and 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 product implementation - help accelerate the work of others on engineering and data teams.
- 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.
- 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.
- You know how to deliver products incrementally - doing the simple thing first, finding and measuring signal, and iterating to build better user experiences.
- Excellent writing, presentation, and communication skills. Documenting, soliciting feedback, and securing alignment among stakeholders is second nature.
- Excellent software engineering skills. You can contribute up and down the application stack to deliver data products to users. Evidenced experience working with engineering teams to build software is an absolute must.
- You have 6+ years of professional experience working in a data science capacity. You know your way around databases, data warehouses, and how to engineer backend machine learning and data science systems. Bonus points if you have experience integrating data products into application front ends. You are equally adept at hacking together proof of concepts and working within 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 and you always level up the technical skills of those around you.
- 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.
- Deep experience in several of the following in a professional capacity: customer segmentation and personalization, time series modeling, natural language processing, traditional classification/regression problems, design and implementation of experiments, recommendation systems, 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
- Health, Dental & Vision Plans
- Competitive Pay
- 401k Matching
- 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.
Top Skills
What We Do
Rocket Money (formerly known as Truebill) is a leading personal finance app with a mission to empower people to live their best financial lives. We offer our 3.4 million members a unique understanding of their finances and a suite of valuable services that save both time and money -- ultimately giving them a leg up on their finanical journey. Members can manage their subscriptions, lower their bills, build budgets and automatically set aside money to reach their savings goals. We've saved our members $245 million and counting.
In late 2021, we were acquired by Rocket Companies (NYSE: RKT) for $1.275 billion with the goal of creating a centralized destination for consumers to manage their entire financial lives. As paying premium members more than doubled year-over-year in July 2022, we announced our new name, Rocket Money.
At Rocket Money, we believe we can do our best work operating as a team. We are committed to using our experience at work to support our own and each other's personal growth journeys. If you are someone who enjoys solving hard problems, likes collaborating and is passionate about our mission; let's talk. We hire from all industries and look for a diverse set of experiences in our talent. To see our open roles go to www.rocketmoney.com/careers.
