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Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow...

Headquarters: United States | Remote

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 Machine Learning Growth team develops models that help optimize borrower acquisition across marketing channels. The Direct Mail team focuses on causal machine learning models that predict incremental conversion and help prioritize prospects, and its scope is expanding beyond Personal Loans into Home Equity Line of Credit (HELOC), email marketing, digital, and other marketing use cases.

The Role:

As an Applied Scientist at Upstart, you will improve existing models and develop new approaches that expand the team’s impact across marketing channels. You will work across business-oriented analysis, machine learning research, experimentation, and production-ready modeling, partnering primarily within Machine Learning and with Growth and Marketing Platform Engineering stakeholders.

How you’ll make an impact:

• Analyze historical model and campaign performance to identify opportunities to improve model effectiveness and marketing outcomes.
• Develop and evaluate machine learning models, including researching new features and model architectures, to improve prospect selection and support new marketing use cases.
• Design statistically rigorous experiments and model evaluations to measure causal impact, optimize campaign outcomes, and inform decisions.
• Navigate complex, messy datasets and build reusable data pipelines, metrics, and analytical approaches that enable efficient model development and analysis.
• Partner with Machine Learning, Growth, and Marketing Platform Engineering teams to translate business problems into research agendas, intermediate milestones, and production-ready solutions.
• Expand machine learning capabilities beyond direct mail into lifecycle, email, digital, and other emerging marketing channels.

Minimum Qualifications:

• Master’s Degree in Mathematics, Statistics, Economics, Operations Research or a related field
• Experience applying statistical and machine learning methods to modeling or data science problems.
• Experience using Python for data analysis, data preparation, and machine learning model development.
• Experience with causal inference and experimental design, including statistically rigorous evaluation of model or experiment performance

Preferred Qualifications:

• PhD in Mathematics, Statistics, Economics, Operations Research or a related field (or its equivalent)
• Knowledge of causal machine learning methods and modeling approaches.
• Ability to translate broadly scoped business problems into structured research questions, analyses, and modeling approaches.
• Experience working across exploratory data analysis, machine learning research, experimentation, and production model development and scaling.
• Ability to interpret complex experimental or modeling results and translate findings into actionable recommendations.
• Experience applying machine learning to marketing, customer acquisition, lifecycle, or other growth use cases.

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.

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$141,500—$196,000 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$130,900—$160,000 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

To apply: https://weworkremotely.com/remote-jobs/upstart-applied-scientist

About SlashData

SlashData helps product, platform, and engineering leaders understand how software development is changing in the AI era. For over 20 years, we have helped many of the world’s leading technology companies understand developers, developer ecosystems, and the tools and workflows shaping the future of software.

Our ambition is to become the industry-standard measurement system for the software development economy – the reference point that product, platform, and engineering leaders rely on to make decisions about developers, AI, and the future of software.

The Role

We are looking for a Market Research Analyst based within Europe with 2 to 5 years of experience in market research, data analysis, or technology advisory work.

In this role, you will develop and deliver research on how AI is reshaping software development, from developer tool adoption to engineering team workflows. You will work directly with product and platform leaders at major technology companies, translating our survey data into insights and foresight that shape their product, platform, and go-to-market decisions. As an analyst at SlashData, you will also act as a spokesperson for our research. This includes talking with clients, appearing in webinars, responding to journalists, and writing about your findings on social media.

Responsibilities

• Working with clients and internal stakeholders to translate business problems into research objectives and projects.
• Designing surveys that address the research needs of our clients and drive their desired outcomes.
• Analysing data (using Python) to extract actionable insights on developer behaviours, preferences, and market trends.
• Producing clear, well-structured reports that explain both the findings and their relevance (answering the “so what?” behind the results).
• Presenting findings in client briefings, webinars, and other external-facing formats.
• Developing deep domain expertise and a credible point of view in AI technology trends, developer tools, and software engineering practices, providing foresight on where the trends are heading.
• Building and maintaining direct advisory relationships with client stakeholders, being a core part of the client relationship.

What we are looking for

Essential

• 2 to 5 years of experience in market research, data analysis, and client project delivery.
• Experience in working with stakeholders to understand business objectives and define research projects that address their needs.
• Excellent business writing skills (English), with the ability to effectively communicate complex findings to non-technical audiences.
• Demonstrated experience in writing clear, evidence-based research reports that turn data into actionable insights.
• Confidence in client-facing settings, with strong presentation skills and the ability to hold your own in conversations with a Head of Product or VP of Engineering.
• Strong data analysis skills, including hands-on experience with Python, R, or similar scripting tools.
• At least a basic understanding of statistics and applied quantitative methods, such as segmentation, clustering and classification.
• Ability to visualise data clearly and effectively through easy-to-understand charts and graphics.
• Comfortable working as part of a distributed team, with mutual flexibility around working hours and occasional client meetings held after 17:00 UK time.
• Genuine curiosity about technology trends: you follow AI, developer tools, or software engineering developments because you find them interesting, not just because a job requires it.

Bonus points for

• Experience in working with complex survey data.
• Advanced Python skills, including data manipulation and analysis in Pandas.
• Having software development experience as a hobby or past work.
• Experience at an analyst firm, technology advisory firm, or in a developer relations/developer marketing role.

You will be successful in the first 3 months if:

• Developed a credible point of view on at least one AI technology trend, informed by our survey data and your own research.
• Authored at least one research report, carrying out all data analysis and background research as needed.
• Actively participated in at least two client research projects.
• Delivered at least one client briefing or webinar to our high standards.
• Actively contributed to shaping the research agenda and designing parts of the questionnaire of our upcoming global developer survey.
• Supported our developer outreach and sales teams, promptly responding to any requests relevant to your work.
• Built working relationships with at least 1 client account, actively participating in advisory conversations alongside senior analysts.

Benefits and What You’ll Get

Meaningful Work at the Centre of AI & Software Evolution

Join a company shaping how technology leaders understand developers in the AI era. Your work directly influences platform strategy, tooling decisions, and the future of software engineering.

Competitive Compensation & Performance Upside

• Competitive base salary depending on experience and location: €35,000.00–€45,000.00 (gross).
• Additional bonus based on company profitability

Truly Remote, Globally Connected

We are a fully distributed team across continents, but we prioritise real connection.

• Two team events per year:

  • One in-person international meetup (our last 4-day offsite was in Berlin)
  • One virtual global team event

• Flexible working environment built on trust and ownership

We combine autonomy with meaningful collaboration.

Annual Personal Development Budget

We invest seriously in growth.

• £1,000.00 per year training budget
• Monthly Amazon book allowance (on any book you choose)
• Exposure to senior leadership and strategic decision-making

We actively support continuous development, not just in theory.

Work Where You Work Best

• £500.00 annual co-working budget to collaborate in person with teammates when working on projects
• £500.00 initial home office setup budget (plus laptop) to ensure you have the right equipment

You’ll have the flexibility to choose the environment that maximises your productivity.

Lifestyle Perks

• Spotify Premium or Netflix subscription
• One self-care day to take whenever you need it

A Culture That Listens

We genuinely listen to our team.

• Open access to leadership
• Clear feedback loops
• Real autonomy and accountability
• Space to test ideas and improve systems

We’re entrepreneurial, direct, and focused on impact, not hierarchy.

Salary

€35,000.00–€45,000.00 (gross), depending on experience and location.