Senior Team Leader, Data Science - Machine Learning

February 20

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $220k - $250k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Rocket Money (formerly Truebill)

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Rocket Money is a comprehensive personal finance management app designed to help users save more, spend less, and take control of their financial lives. The app offers features such as subscription management, spending insights, bill negotiation, net worth tracking, budgeting, and credit score monitoring. With its automated services, Rocket Money aims to simplify money management by finding and tracking subscriptions, helping to negotiate lower bills, and automating savings processes. Users can link all of their financial accounts in one place to get a full financial picture and set financial goals. The app also provides access to financial experts who can assist with personal finance queries.

51 - 200 employees

💸 Finance

💳 Fintech

👥 B2C

📋 Description

• Lead and manage a team of 7-10 data scientists and ML engineers, creating processes that enable autonomous operation within cross-functional teams while maintaining high quality standards and accountability for ML product delivery. • Drive architectural strategy for AI/ML systems, with particular focus on implementing LLM-powered features and GenAI applications that enhance our product experience and customer engagement. • Guide the development and implementation of our next-generation chat experiences and AI-augmented analytics initiatives, ensuring successful delivery of conversational interfaces for both customer-facing and internal tools. • Direct the development of AI and ML-driven personalization systems across our product suite. Engender great developer experiences for AI and ML systems across our technology teams. • Foster strong working relationships across engineering, product, and design teams to ensure successful integration of AI and ML systems into our technology stack. • Create ambitious yet achievable quarterly roadmaps that advance our ML/AI infrastructure while delivering tangible value to users through enhanced product experiences. • Be accountable for making, measuring, and delivering on team commitments, particularly in experimentation and the systematic deployment of ML/AI features. • Invest in your team by building and supporting individualized growth and development plans aligned with our company’s organizational strategy, focusing on technical abilities and product shipping mindset. • Create impactful mentorship relationships that drive higher quality ML system design and implementation across teams.

🎯 Requirements

• You have deep expertise in machine learning and a strong understanding of modern ML systems architecture, especially in deploying LLMs and generative AI in production environments. • You have 3+ years of experience managing data scientists and ML engineers. You've successfully led teams in delivering user-facing AI and ML products and know how to cultivate a culture of technical excellence alongside strong product delivery. • You're experienced in implementing and scaling ML systems, with particular focus on real-time inference, model monitoring, and maintaining high-quality production ML services. • You have hands-on experience building and deploying LLM-powered features in production, including prompt engineering, context management, and responsible AI practices. • You can tailor your management style to suit your employees, identifying where some people might succeed with a more hands-off approach than others. • You excel at stakeholder management and can build effective relationships across the organization. You self-organize a peer group to gain feedback. • You have a build-first mentality. You lead teams to create scalable ML systems that accelerate product delivery cycles across the company. • Expert experience in experimentation is a must - you'll guide systematic approaches to ML feature testing, implementation, and assessment across the company. • You care about products, not publications. You guide your team to focus on shipping valuable features rather than pursuing perfect solutions. • 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.

🏖️ Benefits

• 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)