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 Description
Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare – perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.
- Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
- Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
- Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
- Dare to innovate: We challenge the status quo with creativity and innovation as our true north.
- Better together: We check our egos at the door. We work together, so we win together.
Press Ganey is committed to providing reasonable accommodations to qualified individuals with disabilities or disabled veterans in the hiring process. If you need assistance or an accommodation to apply for a position online or for your interviews or assessments, please contact us at acommodations@pressganey.com. Please provide your contact information and the details of your request so we can best assist you.
ROLE AND RESPONSIBILITIES
Press Ganey is looking for a passionate and entrepreneurial Machine Learning Data Scientist III – Conversational AI to join our AI Solutions team. The AI Solutions team is focused on developing and supporting the latest AI innovations in experience intelligence from agentic text analytics to conversational interfaces to data.
You will
- Design, Develop, and evaluate Conversational AI Agents
- Work closely with AI Scientists and ML Engineers to imagine, design, and develop various Machine Learning and Generative AI products
- Leverage your Conversational AI experience to ensure alignment with current State-of-the-Art best practices throughout AI & Machine Learning team
- Work closely with Responsible AI & Model Validation Center of Excellence to support ethical development of AI Agents
BASIC QUALIFICATIONS
You have
- Master's degree in Computer Science, Artificial Intelligence, or related field
- 5+ years of professional experience in Applied Research and/or Software Engineering
- Proven experience in Conversational AI / Dialogue Systems using Generative AI methods such as RAG, Deep Research Agents, Chain-of-Thought, Multi-agent architectures, etc.
- Proven experience with Generative AI toolkits and standards such as LangChain, LangGraph, MCP, ADK, A2A, etc.
- Strong understanding of Machine Learning, NLP, and Generative AI
- Excellent communication and cross-team collaboration skills
PREFERRED QUALIFICATIONS
- PhD in Computer Science, Artificial Intelligence, or related field
- Familiarity with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Databricks.
- Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like Azure, AWS, or GCP.
- Involvement in Conversational AI research community
ADDITIONAL INFORMATION FOR US BASED JOBS
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/
Company Description
Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare – perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.
- Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
- Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
- Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
- Dare to innovate: We challenge the status quo with creativity and innovation as our true north.
- Better together: We check our egos at the door. We work together, so we win together.
Press Ganey is committed to providing reasonable accommodations to qualified individuals with disabilities or disabled veterans in the hiring process. If you need assistance or an accommodation to apply for a position online or for your interviews or assessments, please contact us at acommodations@pressganey.com. Please provide your contact information and the details of your request so we can best assist you.
ROLE AND RESPONSIBILITIES
Press Ganey is looking for a passionate and entrepreneurial Machine Learning Data Scientist III – Conversational AI to join our AI Solutions team. The AI Solutions team is focused on developing and supporting the latest AI innovations in experience intelligence from agentic text analytics to conversational interfaces to data.
You will
- Design, Develop, and evaluate Conversational AI Agents
- Work closely with AI Scientists and ML Engineers to imagine, design, and develop various Machine Learning and Generative AI products
- Leverage your Conversational AI experience to ensure alignment with current State-of-the-Art best practices throughout AI & Machine Learning team
- Work closely with Responsible AI & Model Validation Center of Excellence to support ethical development of AI Agents
BASIC QUALIFICATIONS
You have
- Master's degree in Computer Science, Artificial Intelligence, or related field
- 5+ years of professional experience in Applied Research and/or Software Engineering
- Proven experience in Conversational AI / Dialogue Systems using Generative AI methods such as RAG, Deep Research Agents, Chain-of-Thought, Multi-agent architectures, etc.
- Proven experience with Generative AI toolkits and standards such as LangChain, LangGraph, MCP, ADK, A2A, etc.
- Strong understanding of Machine Learning, NLP, and Generative AI
- Excellent communication and cross-team collaboration skills
PREFERRED QUALIFICATIONS
- PhD in Computer Science, Artificial Intelligence, or related field
- Familiarity with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Databricks.
- Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like Azure, AWS, or GCP.
- Involvement in Conversational AI research community
ADDITIONAL INFORMATION FOR US BASED JOBS
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/
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.