Senior Manager, Data Science at Upstart
- Company: Upstart
- Location: United States |
- Salary: $195K – $270K
- Job type: full time
- Workplace: remote
- Posted: 2026-10-22
Job description
About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team: Marketing Science is part of Upstart’s Growth, Product, and Ops Analytics team. We help answer two important questions: Is our marketing working, and where should we invest next? Our analysts and data scientists partner closely with growth marketing across every channel that brings borrowers to Upstart, including direct mail, paid search and social, video, mobile, email, brand campaigns, and lending partnerships. Within each channel, the team identifies what’s working and how to improve it. Across channels, we help determine how to allocate spend and understand how channels influence one another. At Upstart, a marketing dollar creates value when it reaches someone our AI models approve who goes on to take out a loan. That means our work goes well beyond clicks. Because we can see the full journey from first touch to funded loan, we can measure marketing against the outcome that matters, not just a proxy. As the Senior Manager for our Marketing Data Science team, you’ll lead this team and work directly with Upstart’s marketing leaders. You’ll be a thought partner, helping the business make decisions that are best for Upstart. We’re looking for an experienced data science and analytics leader who can expand the team’s impact on our growth. How you’ll make an impact Lead a team of analysts and data scientists embedded across marketing channels, with end-to-end ownership of their work. Make experimentation central to the team’s approach: prioritize high-value tests across channels and ensure the findings inform what marketing does next. Guide the team in understanding why channel performance changes and translating those insights into clear, actionable recommendations. Encourage proactive analysis that surfaces emerging risks and opportunities before stakeholders ask. Set a high bar for measurement, including incrementality testing and attribution, and ensure the team delivers rigorous, high-quality work. Partner with marketing, finance, and product leaders to shape the team’s roadmap, bringing business context back to the team so it can focus on the right problems. Hire, develop, and retain a strong team that marketing leaders see as a trusted partner, not just a reporting service. Minimum Qualifications 10+ years of experience in data science and analytics, including 5+ years managing teams of analysts and data scientists. Technical depth across the core work of marketing analytics and data s
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