ML Engineer Visa Sponsorship Jobs in Kentucky
Kentucky's ML engineer job market is anchored by Louisville and Lexington, where healthcare giants like Humana and Kindred Health, along with the University of Kentucky's research programs, drive demand for machine learning talent. Employers in these sectors regularly file H-1B visa petitions for ML engineers, making Kentucky a viable destination for international candidates seeking visa sponsorship.
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The Company
Considered the founder of the industry, Genentech, now a member of the Roche Group, has been delivering on the promise of biotechnology for more than 45 years.
Genentech is a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis.
We celebrate our unique history as the pioneers of scientific breakthroughs that have an incredible track record of improving lives. And yet, our ambitions are bigger and bolder. Together, we are united in a bold quest to solve the world’s most complex health challenges and serve society.
Our ability to bring transformative medicines to patients depends on the positive experience, engagement and resilience of everyone who works here. Our employees are the heart of Genentech and the driving force behind the progress that brings important new medicines to the people who need them. We believe a great people experience is critical for revolutionizing healthcare and that’s why we’re committed to cultivating an environment where people feel valued, included and able to thrive.
The Opportunity
As the Principal Supply Chain Data Scientist, you will lead advanced analytical initiatives to optimize pharmaceutical distribution processes, leveraging cutting-edge data science methodologies and technologies. Based at our main US Distribution facility in Louisville, Kentucky, this role goes beyond traditional data analysis to design predictive and prescriptive models, fostering innovation in supply chain strategy and decision-making. Reporting directly to the Head of Business Excellence, you will drive advanced analytics, process optimization, and strategic supply chain insights. This position combines technical expertise, leadership, and collaboration to impact the broader supply chain ecosystem.
What You’ll Do
Advanced Data Analysis & Predictive Modeling:
- Design, implement, and validate advanced algorithms and predictive models to solve supply chain challenges in a high-pace distribution operation.
- Apply machine learning, statistical methods, and optimization techniques to enhance forecasting, inventory management, and logistics planning.
- Analyze large datasets and business systems to identify trends, patterns, and innovative opportunities using data mining tools and statistical approaches.
- Develop advanced AI-driven tools for improved planning accuracy, distribution efficiency, and warehouse operations.
- Develop and maintain reports and dashboards using Tableau.
- Generate and distribute reports using SQL Reporting Services.
Supply Chain Distribution Optimization & Innovation:
- Develop and implement distribution plans to optimize product movement from manufacturing facilities to customers.
- Create and execute detailed schedules for deliveries, warehouse operations, and related activities.
- Effectively manage warehouse capacity modeling and assessments to ensure accurate and timely insights.
- Conduct space utilization analysis, evaluating how effectively warehouse space is being used and identifying areas for improvement.
- Plan inbound/outbound logistics to meet daily and weekly distribution schedules.
- Plan efficient delivery routes and schedules for cost-effective transportation of medications.
- Analyze the distribution network to identify bottlenecks, optimize routes, and improve overall efficiency and cost-effectiveness.
- Drive the creation of digital twin models for scenario planning and strategic decision-making, ensuring efficient and sustainable supply chain practices.
- Evaluate and propose innovation opportunities through investment modeling and process improvements.
Strategic Impact & Communication:
- Serve as a strategic advisor, translating business challenges into actionable, data-driven insights.
- Present findings, recommendations, and strategic plans to senior leadership, aligning advanced analytics with organizational goals.
- Act as the subject matter expert in supply chain analytics, providing guidance across initiatives and projects.
- Manage data governance frameworks, ensuring integrity, accuracy, and compliance with regulations.
Performance Monitoring, Accurate Reporting, Improvement, and Problem Solving:
- Track key performance indicators (KPIs) such as on-time delivery rates, inventory turns, and order fulfillment rates to identify areas for improvement.
- Analyze performance data to identify issues and implement changes to enhance efficiency and customer service.
- Address disruptions in the distribution process promptly and develop contingency plans for potential risks.
- Regularly review performance metrics and adjust processes for ongoing optimization.
- Use advanced planning systems and AI-driven tools to improve planning accuracy and optimize warehouse operations.
- Create comprehensive documentation and reports to communicate insights and recommendations.
Regulatory Compliance:
- Ensure compliance with relevant regulations and guidelines related to pharmaceutical distribution and supply chain management.
Business Intelligence (BI):
- Create, implement, and manage data integration workflows using SQL Integration Services.
- Develop multidimensional cubes and tabular models in SQL Analysis Services.
- Ensure data integrity, accuracy, and security across all BI systems.
- Continuously improve BI processes and methodologies to enhance efficiency and effectiveness.
Who You Are
- Bachelor's degree in a quantitative or technical field (e.g., Data Science, Supply Chain Management, Logistics, Operations Research, Mathematics, or Computer Science) required.
- Advanced degrees (Master's, PhD) in the same fields strongly preferred, with demonstrated expertise in supply chain analytics.
- Over 10 years of experience in supply chain analytics, business intelligence, or advanced data science roles, with a minimum of 8 years in advanced supply chain analytics.
- Demonstrated track record of implementing analytics within a supply chain context, with pharmaceutical distribution expertise strongly preferred.
- Proficiency in Python, SQL, and cloud-based tools with experience in developing machine learning models and optimization algorithms.
- Hands-on experience with advanced statistical and machine learning packages (e.g., scikit-learn, TensorFlow, R).
- Skilled in optimization tools (e.g., Gurobi, CPLEX) and inventory management platforms.
- Deep understanding of supply chain management principles, including forecasting, inventory optimization, logistics planning, and procurement.
- In-depth experience with pharmaceutical distribution requirements, industry standards, and compliance regulations.
- Familiarity with warehouse operations, capacity planning, network design, and space utilization analysis.
- Familiarity with SQL Integration Services, SQL Analysis Services, and SQL Reporting Services.
Relocation funding is not available for this role.
The expected salary range for this position based on the primary location of Louisville, Kentucky is $127,100 - $236,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
The Position
The Company
Considered the founder of the industry, Genentech, now a member of the Roche Group, has been delivering on the promise of biotechnology for more than 45 years.
Genentech is a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis.
We celebrate our unique history as the pioneers of scientific breakthroughs that have an incredible track record of improving lives. And yet, our ambitions are bigger and bolder. Together, we are united in a bold quest to solve the world’s most complex health challenges and serve society.
Our ability to bring transformative medicines to patients depends on the positive experience, engagement and resilience of everyone who works here. Our employees are the heart of Genentech and the driving force behind the progress that brings important new medicines to the people who need them. We believe a great people experience is critical for revolutionizing healthcare and that’s why we’re committed to cultivating an environment where people feel valued, included and able to thrive.
The Opportunity
As the Principal Supply Chain Data Scientist, you will lead advanced analytical initiatives to optimize pharmaceutical distribution processes, leveraging cutting-edge data science methodologies and technologies. Based at our main US Distribution facility in Louisville, Kentucky, this role goes beyond traditional data analysis to design predictive and prescriptive models, fostering innovation in supply chain strategy and decision-making. Reporting directly to the Head of Business Excellence, you will drive advanced analytics, process optimization, and strategic supply chain insights. This position combines technical expertise, leadership, and collaboration to impact the broader supply chain ecosystem.
What You’ll Do
Advanced Data Analysis & Predictive Modeling:
- Design, implement, and validate advanced algorithms and predictive models to solve supply chain challenges in a high-pace distribution operation.
- Apply machine learning, statistical methods, and optimization techniques to enhance forecasting, inventory management, and logistics planning.
- Analyze large datasets and business systems to identify trends, patterns, and innovative opportunities using data mining tools and statistical approaches.
- Develop advanced AI-driven tools for improved planning accuracy, distribution efficiency, and warehouse operations.
- Develop and maintain reports and dashboards using Tableau.
- Generate and distribute reports using SQL Reporting Services.
Supply Chain Distribution Optimization & Innovation:
- Develop and implement distribution plans to optimize product movement from manufacturing facilities to customers.
- Create and execute detailed schedules for deliveries, warehouse operations, and related activities.
- Effectively manage warehouse capacity modeling and assessments to ensure accurate and timely insights.
- Conduct space utilization analysis, evaluating how effectively warehouse space is being used and identifying areas for improvement.
- Plan inbound/outbound logistics to meet daily and weekly distribution schedules.
- Plan efficient delivery routes and schedules for cost-effective transportation of medications.
- Analyze the distribution network to identify bottlenecks, optimize routes, and improve overall efficiency and cost-effectiveness.
- Drive the creation of digital twin models for scenario planning and strategic decision-making, ensuring efficient and sustainable supply chain practices.
- Evaluate and propose innovation opportunities through investment modeling and process improvements.
Strategic Impact & Communication:
- Serve as a strategic advisor, translating business challenges into actionable, data-driven insights.
- Present findings, recommendations, and strategic plans to senior leadership, aligning advanced analytics with organizational goals.
- Act as the subject matter expert in supply chain analytics, providing guidance across initiatives and projects.
- Manage data governance frameworks, ensuring integrity, accuracy, and compliance with regulations.
Performance Monitoring, Accurate Reporting, Improvement, and Problem Solving:
- Track key performance indicators (KPIs) such as on-time delivery rates, inventory turns, and order fulfillment rates to identify areas for improvement.
- Analyze performance data to identify issues and implement changes to enhance efficiency and customer service.
- Address disruptions in the distribution process promptly and develop contingency plans for potential risks.
- Regularly review performance metrics and adjust processes for ongoing optimization.
- Use advanced planning systems and AI-driven tools to improve planning accuracy and optimize warehouse operations.
- Create comprehensive documentation and reports to communicate insights and recommendations.
Regulatory Compliance:
- Ensure compliance with relevant regulations and guidelines related to pharmaceutical distribution and supply chain management.
Business Intelligence (BI):
- Create, implement, and manage data integration workflows using SQL Integration Services.
- Develop multidimensional cubes and tabular models in SQL Analysis Services.
- Ensure data integrity, accuracy, and security across all BI systems.
- Continuously improve BI processes and methodologies to enhance efficiency and effectiveness.
Who You Are
- Bachelor's degree in a quantitative or technical field (e.g., Data Science, Supply Chain Management, Logistics, Operations Research, Mathematics, or Computer Science) required.
- Advanced degrees (Master's, PhD) in the same fields strongly preferred, with demonstrated expertise in supply chain analytics.
- Over 10 years of experience in supply chain analytics, business intelligence, or advanced data science roles, with a minimum of 8 years in advanced supply chain analytics.
- Demonstrated track record of implementing analytics within a supply chain context, with pharmaceutical distribution expertise strongly preferred.
- Proficiency in Python, SQL, and cloud-based tools with experience in developing machine learning models and optimization algorithms.
- Hands-on experience with advanced statistical and machine learning packages (e.g., scikit-learn, TensorFlow, R).
- Skilled in optimization tools (e.g., Gurobi, CPLEX) and inventory management platforms.
- Deep understanding of supply chain management principles, including forecasting, inventory optimization, logistics planning, and procurement.
- In-depth experience with pharmaceutical distribution requirements, industry standards, and compliance regulations.
- Familiarity with warehouse operations, capacity planning, network design, and space utilization analysis.
- Familiarity with SQL Integration Services, SQL Analysis Services, and SQL Reporting Services.
Relocation funding is not available for this role.
The expected salary range for this position based on the primary location of Louisville, Kentucky is $127,100 - $236,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
ML Engineer Job Roles in Kentucky
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Search ML Engineer Jobs in KentuckyML Engineer Jobs in Kentucky: Frequently Asked Questions
Which companies in Kentucky sponsor visas for ML engineers?
Humana, based in Louisville, is among the most active H-1B sponsors in Kentucky for technology and data science roles, including ML engineers. Other sponsors include Lexmark International in Lexington and various healthcare analytics firms operating across the state. University of Kentucky and University of Louisville also sponsor ML-related research and staff positions for international candidates.
Which visa types are most common for ML engineer roles in Kentucky?
The H-1B is the most common visa for ML engineers in Kentucky, as machine learning qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Some candidates enter through the OPT or STEM OPT extension before transitioning to H-1B. Those with exceptional research credentials may also be eligible for the O-1A or EB-1A categories.
How to find ml engineer visa sponsorship jobs in Kentucky?
Migrate Mate filters job listings specifically by visa sponsorship availability, letting you search ML engineer roles in Kentucky without sorting through positions that won't support international candidates. Because Kentucky's ML market is concentrated in Louisville and Lexington, filtering by city within Migrate Mate helps narrow results to the employers actively filing sponsorship petitions in those areas.
Which cities in Kentucky have the most ML engineer sponsorship jobs?
Louisville is the primary hub, driven by Humana's large technology workforce and a growing healthcare analytics sector. Lexington is the second major concentration, supported by the University of Kentucky's research programs and companies like Lexmark. Outside these two cities, ML engineer sponsorship opportunities in Kentucky are limited, so most international candidates focus their search there.
Are there any Kentucky-specific considerations for ML engineers pursuing visa sponsorship?
Kentucky's ML engineering demand is heavily tied to the healthcare and logistics industries rather than traditional tech hubs, which shapes the types of ML problems employers prioritize, such as clinical data modeling and supply chain optimization. Employers must meet Department of Labor prevailing wage requirements for the relevant occupation and work location, which are determined by the specific county, not just the state. University research roles at UK or U of L may offer an alternative entry point for candidates with strong academic backgrounds.
What is the prevailing wage for sponsored ml engineer jobs in Kentucky?
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.