Senior Manager, Data Science

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 sits within Upstart's Growth, Product, and Ops Analytics team and answers two questions for the business: is our marketing working, and where should it go next? The team's analysts and data scientists are embedded 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 a channel, they work out what's performing and how to make it better. Across channels, they look at how spend should be divided and how each channel affects the others. At Upstart, a marketing dollar only pays off if it reaches someone our AI models approve and who then takes the loan, so the team's questions go well past the click. And since we see the full path from first touch to funded loan, the team can measure marketing against that outcome rather than a stand-in for it. You'll lead that team and work directly with Upstart's marketing leaders, acting as a thought partner to optimize for what is best for the company. We're looking for an experienced data science and analytics leader who can raise the impact this team has on Upstart's growth. How you’ll make an impact Lead a team of analysts and data scientists who are embedded with each marketing channel and responsible end to end for its work Put experimentation at the center of the team's work: decide which tests are worth running across channels, and make sure the results change what marketing does next Guide the team's analysis toward explaining why a channel's performance moved and what marketing should do about it Push the team to bring forward work nobody asked for, like analysis that spots a problem or an opportunity, before marketing knows to ask Hold a high bar on the team's measurement work, including incrementality tests and attribution, and ensure high-quality outputs Work with marketing, finance, and product leaders to set the team's roadmap, and bring that business context back so your team works on the right problems Hire and develop a team that marketing leaders treat as a partner, not a reporting servic Minimum Qualifications 10+ years in data science and analytics, including 5+ years managing teams of analysts and data scientists Technical depth across the work a marketing analytics and data science team does, including reporting, experiments, causal inference, and attribution, and a clear sense of which approach a given question needs Enough SQL and Python to check your team's work yourself A record of hiring well and growing people into more senior roles Good judgment in ambiguous, greenfield areas: you can frame a question nobody has asked yet and decide whether it's worth the team's time Clear written and verbal communication with marketing, finance, product, and technical audiences, and the willingness to tell a senior leader when the evidence doesn't support their plan Preferred Qualifications An exceptional candidate will also have: A PhD or master's degree in statistics, economics, computer science, or another quantitative field Experience bringing AI tools into a team's analysis and reporting work Position location This role is available in the following locations: Remote Time zone requirements The team operates on the East/West coast time zones. [ Only use this section if there are specific time zone requirements that this role must work in; if the role is remote-US or can work in any timezone in the US, please remove this section.] Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. #LI-REMOTE #LI-MidSenior At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $195,300 — $270,400 USD At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). Canada | Remote - Anticipated Base Salary Range $182,800 — $230,000 CAD What you'll love At Upstart, our benefits for full-time employees are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada) Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada. Health Savings Account contributions from Upstart for eligible plans (US only) Income protection benefits, incl