The Team:

Upstart's Growth and Marketplace Optimization teams are responsible for building the decision systems that determine how offers are presented, optimized, and evolved across the customer journey. These systems sit at the intersection of machine learning, optimization, pricing, marketplace dynamics, and borrower behavior. The work spans partner channels, onsite experiences, and marketplace optimization, with the goal of improving conversion, borrower experience, lender surplus, and overall marketplace efficiency. As these systems continue to evolve, the organization is investing in a more unified technical vision that connects decision-making across stages rather than optimizing individual components in isolation.
The Role:

As a Principal Applied Scientist at Upstart, you will help define the long-term technical direction for some of Upstart's most important offer optimization and conversion modeling systems. You will work across multiple teams to define how conversion modeling, offer optimization, and system design should fit together, ensuring models and optimization systems account for downstream effects, marketplace constraints, and customer outcomes.

This role is intentionally broad and high leverage. You will help structure ambiguous problem spaces, design solutions that account for interactions across multiple stages of the customer journey, and provide technical oversight to ensure work across multiple teams converges toward a coherent long-term vision. The work sits at the intersection of operations research, optimization, causal machine learning, and production decision systems.
How you'll make an impact:

• Define the technical vision for how offer decisioning systems should interconnect across partnerships, always-on systems, and marketplace optimization
• Build and guide conversion modeling approaches that optimize decisions across multiple stages of the customer journey rather than in isolated local steps
• Ensure models and decision policies at one stage account for downstream impacts, business constraints, and later-stage optimization opportunities
• Design interfaces between decision systems and optimization or constraint-specification components
• Drive cross-functional technical alignment across teams that currently own adjacent pieces of the problem
• Scope and lead large, ambiguous initiatives that require both deep modeling judgment and strong systems thinking
• Partner with scientists, engineers, and cross-functional stakeholders to translate analytical insights into durable production approaches
• Help ensure ongoing work across domains progresses toward a unified architecture and decisioning strategy
• Contribute directly to implementation and experimentation efforts, including prototyping models, reviewing code, and helping teams operationalize new approaches in production environments.

Minimum Qualifications:

• Advanced degree in a quantitative field such as statistics, mathematics, economics, computer science, operations research, or a related discipline
• 8+ years of experience building and deploying machine learning models into production at scale
• Experience with optimization, operations research, or constrained decision-making problems
• Working knowledge of causal inference or causal machine learning
• Strong grounding in statistics and probability
• Experience leading large cross-functional technical initiatives with multiple stakeholders
• Experience working across multiple technical teams to align approaches, define interfaces, and move toward a shared vision
• Experience solving real-world machine learning or data science problems in a high-impact production environment

Preferred Qualifications:

• PhD in operations research, statistics, economics, computer science, or another quantitative field
• Experience with offer optimization, pricing systems, marketplace optimization, or related decisioning systems
• Experience with end-to-end modeling from problem framing through productionization
• Experience in fintech, lending, marketplaces, or other domains where decisions must account for downstream constraints and business tradeoffs
• Experience serving as a principal-level technical lead across multiple teams or product areas
• Experience mentoring other senior scientists or raising the technical bar across an organization

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 or Canada (outside of Quebec) but are expected to spend high quality time in-person collaborating via regular onsites and in-person meetings. The onsite cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

Position location This role is available in the following locations: Remote

Time zone requirements The team operates on the East/West coast time zones.

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

$238,400-$330,200 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

$220,200-$277,000 CAD

What you'll love

At Upstart, our benefits 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, including life insurance and disability coverage for added financial security
• Paid time off, sick leave, and company holidays, in line with local requirements
• Paid family and parental leave to support caregiving and major life moments (duration varies by country)
• Family-centered benefits to support fertility, parenthood, and caregiving needs
• Employee Assistance Program (EAP) offering mental health support and life-centered resources
• Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only)
• Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you
• Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from
• Connection and community through team events, all-company updates, and employee resource groups (ERGs)
• Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!)

For roles based in Canada, please note that we are not currently able to hire in Quebec.