Data Scientist Visa Sponsorship Jobs in Utah
Data scientist roles in Utah are concentrated in Salt Lake City and Provo, where employers like Adobe, Qualtrics, and the University of Utah regularly hire internationally. The state's growing tech corridor along the Wasatch Front creates steady demand for data talent, and many Utah employers have established visa sponsorship processes for qualified data scientists.
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Get Access To All JobsCompany Overview:
At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.
If you're looking to make an impact and grow with a team that values you, come join us!
Job Description
Snap Finance is looking to strengthen its dynamic, growing analytics department. We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and solving real-world problems with robust data. The ideal candidate understands how to apply the practices of data science to understand a problem and generate significant value through powerful predictive models. This role is tailored for working within a consumer finance company, specifically focusing on supporting the Sales and B2B Marketing departments.
This role follows a hybrid work model based out of our Salt Lake City office. Candidates should currently reside in the Salt Lake City area or be willing to relocate within 90 days of their start date. We believe in-person collaboration plays an important role in building strong partnerships, accelerating development, and staying connected as a team.
How you’ll make an impact:
Experimental Design and Evaluation:
- Design and implement experiments and processes for evaluating business performance, new products, and product features.
- Conducting required analyses incorporating project design, data collection, and analysis, summarizing findings, and presenting results in an understandable manner.
Business Impact Analysis:
- Compiling appropriate data, applying multidimensional data aggregation, and performing profile analysis to evaluate business impact.
- Handling large volumes of transaction-level data to derive actionable results efficiently.
Stakeholder Interaction:
- Interacting with stakeholders to understand their business questions, crafting methodologies to mine/analyze datasets, and delivering insightful recommendations.
- Keeping up to date with the latest technology trends.
Data Mining and Modeling:
- Mining, modeling, and analyzing large datasets, utilizing predictive modeling techniques.
- Building and validating a variety of statistical models, providing analytic support, and developing new criteria and/or strategies.
What you’ll need to succeed:
- Ability to generate robust statistical analyses (e.g., power analysis, hypothesis testing, experimental design, hierarchical modeling, Bayesian and frequentist methods).
- 3-5 years working in a data science position or performing work that aligns with the required skills in another position.
- M.S. in quantitative fields such as Statistics, Econometrics, Mathematics, Physics, Computer Science, Quantitative Social Science, Quantitative Finance, or another related field.
- B.S. in the fields described above will be considered if the skill set and experience are robust.
- Strong SQL skills and the ability to extract data from non-relational data sources.
- Advanced understanding and professional experience with the following methods:
- Classification methods (e.g., Neural Net, Logistic Regression, Decision Trees, KNN, Random Forest).
- Regression methods (e.g., Linear, Nonlinear, Boosted Regression Trees).
- Clustering methods (e.g., K-means, Fuzzy C-means, Hierarchical Clustering, Mixture Modeling).
- Demonstrated ability to take data science projects from development to production.
- Skilled analyst who produces regular reporting content for key stakeholder meetings, responds to ad hoc analysis requests, and generates insightful deep dives.
- Familiarity and experience with concepts in consumer finance, sales operations, and B2B marketing methods.
- Expertise in one or more modeling/machine learning programming languages such as R or Python.
What would make you stand out:
- Experience with a variety of data structures and databases (SQL, no-SQL, graph, etc.).
- Knowledge about Big Data related techniques (e.g., Map-Reduce, Hadoop, Hive, Apache Spark).
Why Join Us:
- Generous paid time off
- Competitive medical, dental & vision coverage
- 401K with company match for US
- Company-paid life insurance
- Company-paid short-term and long-term disability
- Access to mental health and wellness resources
- Company-paid volunteer time to do good in your community
- Legal coverage and other supplemental options
- A value-based culture where growth opportunities are endless
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice.
Company Overview:
At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.
If you're looking to make an impact and grow with a team that values you, come join us!
Job Description
Snap Finance is looking to strengthen its dynamic, growing analytics department. We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and solving real-world problems with robust data. The ideal candidate understands how to apply the practices of data science to understand a problem and generate significant value through powerful predictive models. This role is tailored for working within a consumer finance company, specifically focusing on supporting the Sales and B2B Marketing departments.
This role follows a hybrid work model based out of our Salt Lake City office. Candidates should currently reside in the Salt Lake City area or be willing to relocate within 90 days of their start date. We believe in-person collaboration plays an important role in building strong partnerships, accelerating development, and staying connected as a team.
How you’ll make an impact:
Experimental Design and Evaluation:
- Design and implement experiments and processes for evaluating business performance, new products, and product features.
- Conducting required analyses incorporating project design, data collection, and analysis, summarizing findings, and presenting results in an understandable manner.
Business Impact Analysis:
- Compiling appropriate data, applying multidimensional data aggregation, and performing profile analysis to evaluate business impact.
- Handling large volumes of transaction-level data to derive actionable results efficiently.
Stakeholder Interaction:
- Interacting with stakeholders to understand their business questions, crafting methodologies to mine/analyze datasets, and delivering insightful recommendations.
- Keeping up to date with the latest technology trends.
Data Mining and Modeling:
- Mining, modeling, and analyzing large datasets, utilizing predictive modeling techniques.
- Building and validating a variety of statistical models, providing analytic support, and developing new criteria and/or strategies.
What you’ll need to succeed:
- Ability to generate robust statistical analyses (e.g., power analysis, hypothesis testing, experimental design, hierarchical modeling, Bayesian and frequentist methods).
- 3-5 years working in a data science position or performing work that aligns with the required skills in another position.
- M.S. in quantitative fields such as Statistics, Econometrics, Mathematics, Physics, Computer Science, Quantitative Social Science, Quantitative Finance, or another related field.
- B.S. in the fields described above will be considered if the skill set and experience are robust.
- Strong SQL skills and the ability to extract data from non-relational data sources.
- Advanced understanding and professional experience with the following methods:
- Classification methods (e.g., Neural Net, Logistic Regression, Decision Trees, KNN, Random Forest).
- Regression methods (e.g., Linear, Nonlinear, Boosted Regression Trees).
- Clustering methods (e.g., K-means, Fuzzy C-means, Hierarchical Clustering, Mixture Modeling).
- Demonstrated ability to take data science projects from development to production.
- Skilled analyst who produces regular reporting content for key stakeholder meetings, responds to ad hoc analysis requests, and generates insightful deep dives.
- Familiarity and experience with concepts in consumer finance, sales operations, and B2B marketing methods.
- Expertise in one or more modeling/machine learning programming languages such as R or Python.
What would make you stand out:
- Experience with a variety of data structures and databases (SQL, no-SQL, graph, etc.).
- Knowledge about Big Data related techniques (e.g., Map-Reduce, Hadoop, Hive, Apache Spark).
Why Join Us:
- Generous paid time off
- Competitive medical, dental & vision coverage
- 401K with company match for US
- Company-paid life insurance
- Company-paid short-term and long-term disability
- Access to mental health and wellness resources
- Company-paid volunteer time to do good in your community
- Legal coverage and other supplemental options
- A value-based culture where growth opportunities are endless
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice.
Data Scientist Job Roles in Utah
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Search Data Scientist Jobs in UtahData Scientist Jobs in Utah: Frequently Asked Questions
Which companies in Utah sponsor visas for data scientists?
Several Utah-based employers have a track record of sponsoring work visas for data scientists. Adobe's Lehi campus, Qualtrics in Provo, and the University of Utah in Salt Lake City are among the most active. Financial services firms like Goldman Sachs and health tech companies operating in the Salt Lake metro also appear regularly in Department of Labor sponsorship records for data science roles.
Which visa types are most common for data scientist jobs in Utah?
The H-1B visa is the most common visa for data scientists in Utah, as the role consistently qualifies as a specialty occupation requiring a relevant bachelor's degree or higher. Candidates with extraordinary research records may also see O-1A petitions filed by university or research employers. Australians working in Utah tech companies may encounter E-3 visa filings, and some multinational firms use L-1B transfers for data scientists moving from overseas offices.
How to find data scientist visa sponsorship jobs in Utah?
Migrate Mate is built specifically for international job seekers and lets you filter data scientist roles in Utah by visa sponsorship willingness, so you are not sorting through listings from employers who won't sponsor. The platform surfaces Utah employers, including those along the Wasatch Front tech corridor, that have a documented history of filing work visas for data science positions, saving meaningful time in your search.
Which cities in Utah have the most data scientist visa sponsorship jobs?
Salt Lake City accounts for the largest share of data scientist sponsorship activity in Utah, driven by its concentration of tech firms, health systems, and the University of Utah. Provo and Lehi, often called the Silicon Slopes corridor, are close behind, with companies like Qualtrics and Adobe headquartered there. Ogden has a smaller but growing presence through defense contractors and logistics firms with data science teams.
Are there state-specific considerations for data scientists pursuing visa sponsorship in Utah?
Utah's university pipeline is worth understanding. Graduates from the University of Utah and Brigham Young University fill many local data science roles, so international candidates benefit from demonstrating specialized skills or domain experience that distinguishes them. Utah has no state-level immigration program, so all sponsorship flows through federal categories. Employers in regulated industries like healthcare and finance tend to have more established sponsorship processes than early-stage startups.
What is the prevailing wage for sponsored data scientist jobs in Utah?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.