1

Principal Applied Scientist Jobs (NOW HIRING)

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 ...

... scientific process, including modeling approaches, evaluation techniques, and data collection strategies. Solution Development - Applied Research: -Develops and pilots research proofs-of-concept ...

Requires an MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, Engineering, Data Science, Economics, or a related quantitative discipline * Minimum ...

About the role As a Principal Applied Scientist focused on RL posttraining, you will lead the design and deployment of learning systems that shape how our models behave in real products. You will own ...

We're hiring a Principal Scientist to define how structured knowledge and foundation models work together at scale. You will architect next-generation graph-driven search, hybrid retrieval, and ...

We're hiring a Principal Scientist to define how structured knowledge and foundation models work together at scale. You will architect next-generation graph-driven search, hybrid retrieval, and ...

We are looking for a Principal Applied Scientist to join our team! Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together ...

About the role As a Principal Applied Scientist focused on RL post-training, you will lead the design and deployment of learning systems that shape how our models behave in real products. You will ...

... Principal Applied Scientist, you will set the science direction for advanced reasoning and long-running agent systems within the Agentic AI organization. You will partner closely with applied ...

As our Principal Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be ...

... scientific process, including modeling approaches, evaluation techniques, and data collection strategies. Solution Development - Applied Research: -Develops and pilots research proofs-of-concept ...

Showing results 21-40

Principal Applied Scientist information

See salary details

$68.5K

$144K

$190.5K

How much do principal applied scientist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for principal applied scientist in the United States is $144,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $169,000.00 per year, depending on experience, location, and employer.

How does a principal applied scientist typically collaborate with cross-functional teams in a tech organization?

Principal Applied Scientists often work closely with data engineers, product managers, and software developers to translate business objectives into innovative machine learning solutions. They are usually responsible for guiding technical direction, mentoring junior scientists, and ensuring that research prototypes are scalable for production. Regular collaboration involves participating in strategy meetings, code reviews, and presenting research findings to both technical and non-technical stakeholders. Effective communication and leadership skills are crucial for aligning scientific advancements with broader organizational goals.

What is a principal applied scientist?

Principal Applied Scientists are senior-level experts who lead the development and application of advanced scientific and analytical techniques to solve complex real-world problems. They often work in industries such as technology, healthcare, or engineering, using their expertise in areas like machine learning, data science, or physics. In addition to conducting research, Principal Applied Scientists guide project teams, mentor junior scientists, and help shape the strategic direction of scientific initiatives within an organization.

What is the difference between Principal Applied Scientist vs Senior Data Scientist?

AspectPrincipal Applied ScientistSenior Data Scientist
Required CredentialsAdvanced degrees (PhD or Master’s), extensive experience in applied researchTypically a Master’s or PhD, strong analytical skills, less emphasis on applied research leadership
Work EnvironmentResearch-focused, leadership in projects, cross-functional collaborationData analysis, model development, supporting business decisions
Employer & Industry UsageTech companies, R&D departments, AI/ML teamsTech firms, finance, healthcare, more operational roles

The Principal Applied Scientist is a senior role emphasizing leadership in applied research and innovation, often requiring advanced degrees and extensive experience. In contrast, a Senior Data Scientist focuses more on data analysis and model building with less emphasis on research leadership. Both roles are common in tech and industry settings, but the Principal Applied Scientist typically leads projects and guides research strategies.

What are the key skills and qualifications needed to thrive as a principal applied scientist, and why are they important?

To thrive as a Principal Applied Scientist, you need deep expertise in data science, statistical modeling, machine learning, and typically a PhD or advanced degree in a quantitative field. Proficiency with programming languages like Python or R, cloud platforms, and frameworks such as TensorFlow or PyTorch is commonly required. Exceptional problem-solving abilities, leadership, and the capacity to communicate complex concepts to diverse stakeholders distinguish top performers in this role. These skills are crucial for driving innovation, leading technical teams, and delivering impactful solutions to complex business challenges.
More about Principal Applied Scientist jobs

What states have the most Principal Applied Scientist jobs?

States with the most job openings for Principal Applied Scientist jobs include:

Infographic showing various Principal Applied Scientist job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $144,009 per year, or $69.2 per hour.

Principal Applied Scientist

Upstart

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Upstart rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


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 (opening Summer 2026), 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:
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.
Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com
https://www.upstart.com/candidate_privacy_policy

What Upstart employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom