Senior Data Scientist, Full Stack

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 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.

ABOUT THE ROLE 🤹‍♀️

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.
• Build anomaly detection systems, ensuring that our transaction categorization systems produce accurate data for our users and tracking when they don’t.

Regardless of the challenges you dive into, you will:

• Work within cross-functional teams to build new products and services, especially with engineering. You will lead ML and data science product development within a product vertical, going toe to toe with our product leads on strategy and with our engineering leads on technical implementation.
• 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 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 architecture 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.
• Mentor junior team members across the data team, enhancing the overall ability of the team to deliver products to our users.

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 and err on the side of over communicating.
• 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 know how to work at a strategic level – you can collaborate with stakeholders to define new projects and initiatives for yourself and others. You can reliably and independently define direction for yourself and others on your team.
• 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 collaborators 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 a lot of tools in your methodological tool belt and wield a selection expertly.
• You have 6+ years of professional experience working in a data science capacity. You know your way around databases, data warehouses, models, 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.

WE OFFER 💫

• Health, Dental & Vision Plans
• Competitive Pay
• 401k Matching
• Unlimited PTO
• Lunch daily (in-office only)
• 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.

Tagged as: remote jobs