ML Software Engineer Visa Sponsorship Jobs in Oregon
Oregon's ML software engineer market is anchored by Intel's Hillsboro campuses, Nike's technology division in Beaverton, and a growing cluster of AI-focused startups in Portland. Companies here regularly sponsor H-1B visa and O-1 visas for machine learning roles, particularly in computer vision, NLP, and recommendation systems work tied to Oregon's semiconductor and consumer tech industries.
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Get Access To All JobsINTRODUCTION
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking a Senior Data Scientist - Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients.
In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations. You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.
KEY RESPONSIBILITIES
- Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
- Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
- Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
- Perform large-scale data extraction, transformation, and analysis using SQL
- Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements
- Translate business problems into analytical solutions
- Present model insights and recommendations to senior client stakeholders
- Lead workshops and forecasting strategy discussions with clients
- Implement and operationalize models in cloud environments
- Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions
REQUIREMENTS
- 10+ years of experience in applied data science or advanced analytics
- 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
- Strong domain experience in CPG, FMCG, retail, or similar industries
- Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
- Strong SQL skills for large-scale data processing
- Proven experience deploying models in cloud environments (Azure preferred)
BENEFITS
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
INTRODUCTION
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking a Senior Data Scientist - Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients.
In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations. You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.
KEY RESPONSIBILITIES
- Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
- Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
- Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
- Perform large-scale data extraction, transformation, and analysis using SQL
- Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements
- Translate business problems into analytical solutions
- Present model insights and recommendations to senior client stakeholders
- Lead workshops and forecasting strategy discussions with clients
- Implement and operationalize models in cloud environments
- Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions
REQUIREMENTS
- 10+ years of experience in applied data science or advanced analytics
- 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
- Strong domain experience in CPG, FMCG, retail, or similar industries
- Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
- Strong SQL skills for large-scale data processing
- Proven experience deploying models in cloud environments (Azure preferred)
BENEFITS
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
ML Software Engineer Job Roles in Oregon
See all 129+ ML Software Engineer Jobs in Oregon
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Search ML Software Engineer Jobs in OregonML Software Engineer Jobs in Oregon: Frequently Asked Questions
Which companies sponsor visas for ml software engineers in Oregon?
Intel is the largest H-1B sponsor in Oregon for ML roles, with significant hiring at its Hillsboro campus focused on chip-level AI optimization. Nike's technology team in Beaverton sponsors for ML engineers working on athlete data and product recommendation systems. Smaller sponsors include Daimler Trucks North America, Precision Castparts, and several Portland-based AI startups, though sponsorship frequency at smaller firms varies considerably.
Which visa types are most common for ml software engineer roles in Oregon?
The H-1B is the most common visa for ML software engineers in Oregon, used by large sponsors like Intel and Nike for specialty occupation roles requiring a relevant technical degree. The O-1A is an option for engineers with published research, patents, or significant industry recognition. Candidates with Canadian or Mexican citizenship can use the TN visa under the USMCA, which has no annual cap and no lottery process.
Which cities in Oregon have the most ml software engineer sponsorship jobs?
Portland and its surrounding metro area, including Beaverton and Hillsboro, account for the overwhelming majority of ML software engineer sponsorship activity in Oregon. Hillsboro is particularly significant given Intel's campus concentration there. Eugene has a smaller but emerging presence through University of Oregon research spinouts and tech-adjacent employers. Outside the Portland metro, sponsorship opportunities are limited.
How to find ml software engineer visa sponsorship jobs in Oregon?
Migrate Mate filters ML software engineer roles specifically by visa sponsorship willingness, saving you the time of screening out employers who won't sponsor. For Oregon, focus your search on the Portland metro area and filter by ML-specific titles like machine learning engineer, applied scientist, or MLOps engineer. Migrate Mate surfaces roles at companies with a documented history of H-1B filings in Oregon, which is the most reliable signal of genuine sponsorship intent.
Are there any Oregon-specific considerations for ML software engineers seeking visa sponsorship?
Oregon's ML hiring is heavily shaped by Intel's semiconductor AI work and Nike's consumer data operations, so candidates with hardware-aware ML or large-scale recommendation system experience are particularly competitive here. Oregon lacks the density of enterprise tech employers found in Seattle or the Bay Area, meaning fewer total sponsoring employers but also less competition for available roles. University of Oregon and Oregon State University graduate pipelines supply local talent, but both schools actively recruit internationally, keeping sponsorship norms in place at affiliated research employers.
What is the prevailing wage for sponsored ml software engineer jobs in Oregon?
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.