Data Science Analyst Visa Sponsorship Jobs in Idaho
Data science analyst roles in Idaho are concentrated around Boise's growing tech sector, with employers like Micron Technology, Bodybuilding.com (now part of Liberty Media), and state government agencies actively hiring analytical talent. The University of Idaho and Boise State University also feed local demand, making Idaho a quieter but real market for visa sponsorship in this field.
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Get Access To All JobsINTRODUCTION
The Simplot Company is a diverse, privately held global food and agriculture company headquartered in Boise, Idaho. We are a true farm-to-table company with an integrated portfolio including food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture.
SUMMARY
We are seeking a Senior Data Science Domain Analyst (Commercial, Planning & Supply Chain) to help drive the adoption of data science, machine learning, and AI across commercial, planning, and supply chain functions at Simplot.
This role sits at the intersection of business strategy, operations, and advanced analytics, translating complex business challenges into scalable data and AI solutions. You will partner with stakeholders across Global Food, AgriBusiness, and corporate functions to identify opportunities, define high-value use cases, and guide the development of analytics, machine learning, and agentic AI solutions that improve decision-making and business performance.
The ideal candidate combines strong business acumen with analytical expertise and has experience delivering custom applications and decision-support tools that complement enterprise platforms such as SAP, Salesforce, and other commercial systems.
This position is full-time onsite at the Simplot Headquarters in Boise, ID.
KEY RESPONSIBILITIES
Domain Leadership & Use Case Development
- Partner with commercial, sales, marketing, planning, supply chain, procurement, and customer-facing teams to identify and prioritize high-value opportunities.
- Translate business challenges into analytics, optimization, machine learning, and AI use cases.
- Define business value, success metrics, data requirements, and implementation approaches.
Cross-Functional Collaboration
- Act as a bridge between business stakeholders, data scientists, AI engineers, and technology teams.
- Align stakeholders around solution objectives, priorities, and expected outcomes.
- Drive adoption through effective communication and user engagement.
Analytics & Solution Design
- Analyze business processes, operational data, and decision workflows to uncover opportunities for improvement.
- Evaluate data quality, system capabilities, and integration requirements across enterprise platforms.
- Support rapid prototyping, experimentation, and business case development.
AI & Application Enablement
- Collaborate with technical teams to conceive and deliver predictive, prescriptive, optimization, and generative AI solutions.
- Help shape custom applications that extend and complement enterprise platforms such as SAP, Salesforce, planning systems, and commercial tools.
- Guide solution deployment into business processes to ensure sustained business value.
Portfolio & Value Management
- Assess competing opportunities and prioritize initiatives based on business impact, feasibility, and strategic alignment.
- Support multi-year roadmaps for AI, analytics, and decision-support capabilities.
- Measure outcomes and ensure solutions deliver meaningful business results.
TYPICAL EDUCATION
Bachelor's or Master's degree in Data Science, Operations Research, Supply Chain, Business Analytics, Engineering, Economics, or a related field, or equivalent industry experience.
RELEVANT EXPERIENCE
Required
- Bachelor's or Master's degree in Data Science, Operations Research, Supply Chain, Business Analytics, Engineering, Economics, or a related field, or equivalent industry experience.
- 5+ years of experience in commercial, supply chain, planning, procurement, operations, or related business functions.
- Experience working with analytics, machine learning, or AI solution teams.
- Proficiency with SQL and data analysis tools.
- Strong understanding of the machine learning lifecycle and AI solution delivery.
- Demonstrated success working with both technical and business stakeholders.
Preferred
- Experience in food, agriculture, or consumer products industries.
- Experience supporting sales, demand planning, supply planning, S&OP, procurement, pricing, forecasting, logistics, or customer service functions.
- Experience designing or delivering custom analytics applications that complement enterprise platforms such as SAP, Salesforce, or similar systems.
- Exposure to optimization, forecasting, recommendation systems, agentic AI, or decision intelligence solutions.
- Familiarity with enterprise data platforms and modern AI technologies.
IMPACT & KEY COMPETENCIES
In this role, you will help shape how Simplot applies data science, machine learning, and AI to improve decision-making across commercial, planning, and supply chain processes. Working across Global Food, AgriBusiness, and corporate functions, you will identify opportunities, guide solution development, and help deliver practical capabilities that improve revenue growth, customer service, operational performance, and supply chain effectiveness.
- Business Partnership: Builds trusted relationships across diverse business functions and operating segments.
- Systems Thinking: Understands end-to-end commercial, planning, and supply chain processes and their interdependencies.
- Analytical Rigor: Uses data to evaluate opportunities, validate assumptions, and drive decisions.
- Strategic Prioritization: Focuses effort on initiatives with the greatest business impact.
- Translation Skills: Converts business needs into technical requirements and technical capabilities into business value.
Job Requisition ID: 27563
Travel Required:
Location(s): Simplot Headquarters - Boise
Country: United States
The Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status.
If the Simplot Company decides to offer you this position, such offer will be conditioned on your satisfactory completion of a post-offer criminal background check. For Washington Job Applicants, see the Washington State Attorney General’s Washington Fair Chance Act Guide and RCW 49.94.010 for more information.
INTRODUCTION
The Simplot Company is a diverse, privately held global food and agriculture company headquartered in Boise, Idaho. We are a true farm-to-table company with an integrated portfolio including food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture.
SUMMARY
We are seeking a Senior Data Science Domain Analyst (Commercial, Planning & Supply Chain) to help drive the adoption of data science, machine learning, and AI across commercial, planning, and supply chain functions at Simplot.
This role sits at the intersection of business strategy, operations, and advanced analytics, translating complex business challenges into scalable data and AI solutions. You will partner with stakeholders across Global Food, AgriBusiness, and corporate functions to identify opportunities, define high-value use cases, and guide the development of analytics, machine learning, and agentic AI solutions that improve decision-making and business performance.
The ideal candidate combines strong business acumen with analytical expertise and has experience delivering custom applications and decision-support tools that complement enterprise platforms such as SAP, Salesforce, and other commercial systems.
This position is full-time onsite at the Simplot Headquarters in Boise, ID.
KEY RESPONSIBILITIES
Domain Leadership & Use Case Development
- Partner with commercial, sales, marketing, planning, supply chain, procurement, and customer-facing teams to identify and prioritize high-value opportunities.
- Translate business challenges into analytics, optimization, machine learning, and AI use cases.
- Define business value, success metrics, data requirements, and implementation approaches.
Cross-Functional Collaboration
- Act as a bridge between business stakeholders, data scientists, AI engineers, and technology teams.
- Align stakeholders around solution objectives, priorities, and expected outcomes.
- Drive adoption through effective communication and user engagement.
Analytics & Solution Design
- Analyze business processes, operational data, and decision workflows to uncover opportunities for improvement.
- Evaluate data quality, system capabilities, and integration requirements across enterprise platforms.
- Support rapid prototyping, experimentation, and business case development.
AI & Application Enablement
- Collaborate with technical teams to conceive and deliver predictive, prescriptive, optimization, and generative AI solutions.
- Help shape custom applications that extend and complement enterprise platforms such as SAP, Salesforce, planning systems, and commercial tools.
- Guide solution deployment into business processes to ensure sustained business value.
Portfolio & Value Management
- Assess competing opportunities and prioritize initiatives based on business impact, feasibility, and strategic alignment.
- Support multi-year roadmaps for AI, analytics, and decision-support capabilities.
- Measure outcomes and ensure solutions deliver meaningful business results.
TYPICAL EDUCATION
Bachelor's or Master's degree in Data Science, Operations Research, Supply Chain, Business Analytics, Engineering, Economics, or a related field, or equivalent industry experience.
RELEVANT EXPERIENCE
Required
- Bachelor's or Master's degree in Data Science, Operations Research, Supply Chain, Business Analytics, Engineering, Economics, or a related field, or equivalent industry experience.
- 5+ years of experience in commercial, supply chain, planning, procurement, operations, or related business functions.
- Experience working with analytics, machine learning, or AI solution teams.
- Proficiency with SQL and data analysis tools.
- Strong understanding of the machine learning lifecycle and AI solution delivery.
- Demonstrated success working with both technical and business stakeholders.
Preferred
- Experience in food, agriculture, or consumer products industries.
- Experience supporting sales, demand planning, supply planning, S&OP, procurement, pricing, forecasting, logistics, or customer service functions.
- Experience designing or delivering custom analytics applications that complement enterprise platforms such as SAP, Salesforce, or similar systems.
- Exposure to optimization, forecasting, recommendation systems, agentic AI, or decision intelligence solutions.
- Familiarity with enterprise data platforms and modern AI technologies.
IMPACT & KEY COMPETENCIES
In this role, you will help shape how Simplot applies data science, machine learning, and AI to improve decision-making across commercial, planning, and supply chain processes. Working across Global Food, AgriBusiness, and corporate functions, you will identify opportunities, guide solution development, and help deliver practical capabilities that improve revenue growth, customer service, operational performance, and supply chain effectiveness.
- Business Partnership: Builds trusted relationships across diverse business functions and operating segments.
- Systems Thinking: Understands end-to-end commercial, planning, and supply chain processes and their interdependencies.
- Analytical Rigor: Uses data to evaluate opportunities, validate assumptions, and drive decisions.
- Strategic Prioritization: Focuses effort on initiatives with the greatest business impact.
- Translation Skills: Converts business needs into technical requirements and technical capabilities into business value.
Job Requisition ID: 27563
Travel Required:
Location(s): Simplot Headquarters - Boise
Country: United States
The Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status.
If the Simplot Company decides to offer you this position, such offer will be conditioned on your satisfactory completion of a post-offer criminal background check. For Washington Job Applicants, see the Washington State Attorney General’s Washington Fair Chance Act Guide and RCW 49.94.010 for more information.
Data Science Analyst Job Roles in Idaho
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Search Data Science Analyst Jobs in IdahoData Science Analyst Jobs in Idaho: Frequently Asked Questions
Which companies in Idaho sponsor visas for data science analysts?
Micron Technology in Boise is one of Idaho's most active H-1B visa sponsors and regularly hires data science and analytics professionals. Idaho Power, Clearwater Analytics, and state agencies with data-heavy operations also appear in sponsorship records. The pool is smaller than major tech hubs, but Boise's growing fintech and semiconductor sectors have shown consistent sponsorship activity for analytical roles.
Which visa types are most common for data science analyst roles in Idaho?
The H-1B is the most common visa for data science analysts in Idaho, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in statistics, computer science, mathematics, or a related field. Candidates with Canadian or Mexican citizenship may qualify for the TN visa under the NAFTA/USMCA mathematician or computer systems analyst category, depending on job duties.
Which cities in Idaho have the most data science analyst sponsorship jobs?
Boise accounts for the large majority of data science analyst sponsorship activity in Idaho. It hosts the state's largest private employers and most of its tech sector, including semiconductor, fintech, and healthcare analytics firms. Coeur d'Alene and Idaho Falls have smaller but emerging employer bases, particularly in healthcare data and energy, though sponsorship opportunities there are considerably less frequent.
How to find data science analyst visa sponsorship jobs in Idaho?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search for data science analyst roles in Idaho without sorting through positions that won't support international candidates. Given Idaho's smaller market, setting up alerts for Boise-area postings is practical. Migrate Mate also surfaces employers with a documented sponsorship history, which helps narrow your focus to realistic opportunities in the state.
Are there state-specific considerations for data science analysts seeking sponsorship in Idaho?
Idaho follows federal prevailing wage requirements, so H-1B employers must pay the Department of Labor's wage level for the specific occupation and Boise metropolitan area. The University of Idaho and Boise State University maintain research computing and data programs that occasionally hire international graduates directly, and cap-exempt status at universities means those positions bypass the H-1B lottery, which is worth noting for candidates with academic research backgrounds.
What is the prevailing wage for sponsored data science analyst jobs in Idaho?
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.