Senior Data Scientist, Full Stack

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

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.

Responsibilities

• 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.