Senior Data Science Engineer Visa Sponsorship Jobs in Idaho
Idaho's senior data science engineer roles are concentrated in Boise's growing tech sector, with companies like Clearwater Analytics, Bodybuilding.com, and Micron Technology driving demand. Boise State University and the University of Idaho feed regional talent pipelines, but specialized senior-level expertise often prompts employers to pursue international candidates through visa sponsorship.
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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.
Senior Data Science Engineer Job Roles in Idaho
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Search Senior Data Science Engineer Jobs in IdahoSenior Data Science Engineer Jobs in Idaho: Frequently Asked Questions
Which companies in Idaho sponsor visas for senior data science engineers?
Boise-based employers with documented sponsorship activity for data science roles include Clearwater Analytics, Micron Technology, and HP Inc. Healthcare systems such as St. Luke's Health System and Blue Cross of Idaho have also filed for data-focused positions. Technology and fintech firms in the Treasure Valley are the most consistent sponsors at the senior level, where the specialized skill requirements make domestic hiring more competitive.
Which visa types are most common for senior data science engineer roles in Idaho?
The H-1B visa is the most common visa for senior data science engineers in Idaho, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Employers occasionally use the O-1A for candidates with exceptional research credentials. Australians may qualify for the E-3 visa, which has no lottery and a separate annual allocation, making it a more accessible path for eligible candidates.
Which cities in Idaho have the most senior data science engineer sponsorship jobs?
Boise accounts for the large majority of senior data science engineer sponsorship activity in Idaho, driven by its concentration of technology, financial services, and semiconductor companies. Meridian and Nampa, both part of the broader Treasure Valley metro, host satellite offices and growing tech teams. Idaho Falls has a smaller but active market tied to energy research and the Idaho National Laboratory, which occasionally hires data professionals.
How to find senior data science engineer visa sponsorship jobs in Idaho?
Migrate Mate filters job listings specifically for visa sponsorship, so you can search senior data science engineer roles in Idaho without sifting through positions that don't support international candidates. The platform aggregates openings from Idaho employers with active sponsorship history, which is particularly useful in a smaller market like Idaho where sponsoring companies are fewer but identifiable. Filtering by state and seniority level on Migrate Mate narrows results quickly.
Are there any Idaho-specific considerations for senior data science engineers pursuing sponsorship?
Idaho is not a high-cost metro, so the Department of Labor prevailing wage for senior data science engineers here is calculated against local Boise-area wage surveys rather than national figures. Employers must certify they are meeting that prevailing wage on the Labor Condition Application filed with any H-1B petition. Boise State University's data science programs also create a regional talent pipeline, which means employers are selective at the senior level and typically sponsor only when the candidate brings specialized skills not readily available locally.
What is the prevailing wage for sponsored senior data science engineer 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.