Remote Applied Data Scientist Jobs
Remote applied data scientist jobs are open across technology, healthcare, financial services, and consumer products at remote-first companies and distributed enterprise teams, from early-career roles building production ML pipelines to senior positions leading applied research. Employers hiring remotely right now include Zillow, Upstart, and FICO. Find a role that fits below and apply directly.
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Showing 5 of 27+ Remote Applied Data Scientist jobs
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
Upstart’s Machine Learning team applies machine learning and statistical methods to improve how we evaluate risk and make lending decisions. The team combines scientific research, experimentation, and engineering to develop models that support Upstart’s mission of expanding access to affordable credit.
As an Applied Scientist at Upstart, you will develop and evaluate machine learning models that address meaningful business problems. You will collaborate with scientists, engineers, and cross-functional partners to translate complex data into modeling improvements and measurable outcomes.
How you’ll make an impact
- Develop, train, and evaluate machine learning models to improve predictive performance and support lending decisions.
- Analyze large datasets to identify patterns, develop features, and inform modeling approaches.
- Design and execute experiments to assess model performance, validate hypotheses, and identify opportunities for improvement.
- Collaborate with scientists and engineers to implement, monitor, and refine models in production environments.
- Document methodologies, communicate findings, and contribute to reproducible scientific workflows.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience.
- 0–2 years of experience in machine learning, applied statistics, or a related quantitative field.
- Experience developing or evaluating machine learning models using Python.
- Experience applying statistical methods, including hypothesis testing, regression, or predictive modeling, to quantitative datasets.
Preferred Qualifications
- Advanced degree, ideally a PhD, in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field.
- Knowledge of supervised learning techniques, model evaluation, and feature engineering.
- Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Experience working with large-scale datasets using SQL or distributed data processing tools.
- Ability to communicate modeling approaches and experimental results to technical and nontechnical audiences.
Position location This role is available in the following locations: Remote
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 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.
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
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 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, 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
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
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
Upstart’s Machine Learning team applies machine learning and statistical methods to improve how we evaluate risk and make lending decisions. The team combines scientific research, experimentation, and engineering to develop models that support Upstart’s mission of expanding access to affordable credit.
As an Applied Scientist at Upstart, you will develop and evaluate machine learning models that address meaningful business problems. You will collaborate with scientists, engineers, and cross-functional partners to translate complex data into modeling improvements and measurable outcomes.
How you’ll make an impact
- Develop, train, and evaluate machine learning models to improve predictive performance and support lending decisions.
- Analyze large datasets to identify patterns, develop features, and inform modeling approaches.
- Design and execute experiments to assess model performance, validate hypotheses, and identify opportunities for improvement.
- Collaborate with scientists and engineers to implement, monitor, and refine models in production environments.
- Document methodologies, communicate findings, and contribute to reproducible scientific workflows.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience.
- 0–2 years of experience in machine learning, applied statistics, or a related quantitative field.
- Experience developing or evaluating machine learning models using Python.
- Experience applying statistical methods, including hypothesis testing, regression, or predictive modeling, to quantitative datasets.
Preferred Qualifications
- Advanced degree, ideally a PhD, in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field.
- Knowledge of supervised learning techniques, model evaluation, and feature engineering.
- Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Experience working with large-scale datasets using SQL or distributed data processing tools.
- Ability to communicate modeling approaches and experimental results to technical and nontechnical audiences.
Position location This role is available in the following locations: Remote
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 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.
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
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 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, 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
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
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Who's Hiring
Top Industries Hiring
- Insurance
- Technology & Software
- Banking & Financial Services
What Employers Look For
The qualifications that appear most often in remote applied data scientist jobs.
- Proficiency in Python and SQL for data manipulation and model development
- Experience building and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, GCP, or Azure for ML workloads
- Strong knowledge of statistical modeling, A/B testing, and experimental design
- Bachelor's or master's degree in computer science, statistics, mathematics, or a related field
- Experience with MLOps tooling including model monitoring, versioning, and pipeline orchestration
Tips for Your Remote Applied Data Scientist Job Search
Show deployed work, not just analysis
Remote hiring managers for applied data scientist roles want evidence you can take a model from notebook to production without someone walking you through it. Document at least two end-to-end deployed projects in your portfolio, including the problem framing, the approach, and the measurable outcome.
Prove you communicate clearly in writing
Remote applied data scientist teams run on written communication. Async documentation of your modeling decisions, experiment results, and trade-offs matters as much as technical skill. Prepare writing samples, a technical blog post, or a well-documented GitHub readme that demonstrates how you explain complex work to non-technical stakeholders.
Apply early to remote roles that fit
Migrate Mate lists remote applied data scientist openings from companies hiring across the U.S. in one place, so you can find roles that match your stack and seniority and apply directly without sorting through unrelated postings.
Prepare for async technical interviews
Many remote-first companies conduct applied data scientist interviews through take-home assessments and async video responses rather than live coding sessions. Practice explaining your modeling choices in writing and recording clear, concise technical walkthroughs, since your ability to communicate remotely is itself part of what they're evaluating.
Remote Applied Data Scientist Jobs: Frequently Asked Questions
How do I get a remote applied data scientist job?
Remote applied data scientist roles go to candidates who can demonstrate self-direction, strong written communication, and the ability to ship models without in-person oversight. Remote-first companies and distributed teams screen heavily for async collaboration skills alongside technical depth in Python, SQL, and ML frameworks. A portfolio of deployed projects with clear business impact documentation gives you a concrete edge over candidates who only show notebooks.
Which companies hire remote applied data scientists?
Employers currently hiring remote applied data scientists include Zillow, Upstart, and FICO, per current remote listings on Migrate Mate as of November 2026. Remote applied data scientist roles are most common at remote-first technology firms, distributed fintech and health tech companies, and large enterprises that have built permanent distributed data science teams.
Can you get a remote applied data scientist job with no experience?
Yes, but remote entry-level applied data scientist roles are harder to land because employers expect you to work independently from day one with minimal hand-holding. Early-career candidates do best targeting remote-first startups and product companies that hire junior applied scientists. A portfolio of real deployed projects, open-source contributions, and demonstrated async communication skills can substitute meaningfully for formal job history.
Do you need a degree for remote applied data scientist jobs?
Not always. Many remote employers prioritize demonstrated ability to build and deploy models over a specific credential, especially at remote-first technology companies where work output is directly observable. A strong portfolio, relevant certifications, and evidence of shipped production work carry significant weight, though roles at larger enterprises and research-oriented companies often still prefer a graduate degree in a quantitative field.
Which industries hire the most remote applied data scientists?
The sectors hiring the most remote applied data scientists are Insurance, Technology & Software, and Banking & Financial Services, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed data science teams to build and maintain models that run across geographically dispersed infrastructure, customer bases, and data pipelines.
See All 27 Remote Applied Data Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
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