AI ML Engineering Visa Sponsorship Jobs in Delaware
Delaware's AI/ML engineering hiring is anchored by financial services firms in Wilmington, life sciences companies along the I-95 corridor, and a growing technology sector supported by University of Delaware research partnerships. Employers including JPMorgan Chase, DuPont, and AstraZeneca have sponsored skilled foreign nationals in technical roles.
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Integrated Business Planning (IBP) brings together forecasting and planning across marketing, sales, finance, procurement, manufacturing, and customer service into a unified process. This integration ensures alignment across the enterprise, leading to superior customer outcomes. Agilent is building our enterprise planning capabilities to drive IBP across the business by establishing Global Demand & Supply Planning Teams, and a centralized Planning Excellence Team (PET). Collectively, this new structure will continue to lead our Ignite IBP transformation journey which will strengthen our competitive advantage by enabling faster, more reliable planning. The IBP Supply Planning Data Scientist role will bring key data scientist capabilities to this effort. As the IBP Supply Planning Data Scientist, you will be responsible for developing and maintaining advanced inventory and supply planning models, refreshing portfolio inventory targets, and monitoring key planning parameters to ensure the business is positioned to meet demand reliably and efficiently.
Principle Duties/Responsibilities:
- Provide data-driven insights, dashboards, and scenario modeling to support supply planners, S&OE/S&OP processes, and enterprise decision-making
- Drive continuous improvement in supply and inventory analytics, data quality, and model reliability
- Drive automation and advanced analytics, leveraging Python, SQL, and BI tools to scale insights
- Partner with Supply Planning Stewards to align analytics with standards, governance, and process maturity efforts
- Build, maintain, and enhance inventory optimization models (safety stock, segmentation, variability-based rules, reorder logic)
- Refresh inventory targets across the portfolio and ensure alignment with service expectations, demand patterns, and supply constraints
- Monitor and tune critical inventory parameters (lead times, variability, cycle stock inputs, yield factors) based on actual system performance
- Analyze inventory health (target adherence, shortages, excess, age, replenishment performance) and provide insights to planners and leaders
- Provide inventory-focused scenario analysis for demand changes, supply disruptions, or service-level shifts
- Support supply planners with modeling supply capability (RCCP, constraints, capacity modeling, yield/throughput assumptions)
- Generate dashboards and KPIs that reflect supply plan stability, attainment, constraint exposure, and readiness
- Enable S&OE/S&OP with near-term supply-demand coverage analytics, including early warning indicators
- Develop and maintain supply-focused models (scenario models, coverage calculators, constraint dashboards) for decision support
Qualifications
- Bachelor's or Master's Degree in Data Science, Statistics, Computer Science, or a related field.
- Typically, at least 8 years of experience in data science or equivalent work experience.
- Extensive knowledge in predictive modeling, machine learning, and statistical analysis.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.
- Strong analytical and problem-solving skills with the ability to interpret complex data.
- Excellent communication skills, both written and verbal, with the ability to present technical information to non-technical stakeholders.
- Ability to work independently and as part of a team in a fast-paced environment.
- Strong executive presence and leadership skills.
- Excellent communication skills, with the ability to effectively engage with different levels of management.
Preferred Qualifications:
- Experience in supply planning and forecasting within a commercial setting.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of advanced machine learning techniques and frameworks.
Additional Details
This job has a full time weekly schedule. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations
Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
Travel Required: Occasional
Shift: Day
Duration: No End Date
Job Function: Administration
Job Description
Integrated Business Planning (IBP) brings together forecasting and planning across marketing, sales, finance, procurement, manufacturing, and customer service into a unified process. This integration ensures alignment across the enterprise, leading to superior customer outcomes. Agilent is building our enterprise planning capabilities to drive IBP across the business by establishing Global Demand & Supply Planning Teams, and a centralized Planning Excellence Team (PET). Collectively, this new structure will continue to lead our Ignite IBP transformation journey which will strengthen our competitive advantage by enabling faster, more reliable planning. The IBP Supply Planning Data Scientist role will bring key data scientist capabilities to this effort. As the IBP Supply Planning Data Scientist, you will be responsible for developing and maintaining advanced inventory and supply planning models, refreshing portfolio inventory targets, and monitoring key planning parameters to ensure the business is positioned to meet demand reliably and efficiently.
Principle Duties/Responsibilities:
- Provide data-driven insights, dashboards, and scenario modeling to support supply planners, S&OE/S&OP processes, and enterprise decision-making
- Drive continuous improvement in supply and inventory analytics, data quality, and model reliability
- Drive automation and advanced analytics, leveraging Python, SQL, and BI tools to scale insights
- Partner with Supply Planning Stewards to align analytics with standards, governance, and process maturity efforts
- Build, maintain, and enhance inventory optimization models (safety stock, segmentation, variability-based rules, reorder logic)
- Refresh inventory targets across the portfolio and ensure alignment with service expectations, demand patterns, and supply constraints
- Monitor and tune critical inventory parameters (lead times, variability, cycle stock inputs, yield factors) based on actual system performance
- Analyze inventory health (target adherence, shortages, excess, age, replenishment performance) and provide insights to planners and leaders
- Provide inventory-focused scenario analysis for demand changes, supply disruptions, or service-level shifts
- Support supply planners with modeling supply capability (RCCP, constraints, capacity modeling, yield/throughput assumptions)
- Generate dashboards and KPIs that reflect supply plan stability, attainment, constraint exposure, and readiness
- Enable S&OE/S&OP with near-term supply-demand coverage analytics, including early warning indicators
- Develop and maintain supply-focused models (scenario models, coverage calculators, constraint dashboards) for decision support
Qualifications
- Bachelor's or Master's Degree in Data Science, Statistics, Computer Science, or a related field.
- Typically, at least 8 years of experience in data science or equivalent work experience.
- Extensive knowledge in predictive modeling, machine learning, and statistical analysis.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.
- Strong analytical and problem-solving skills with the ability to interpret complex data.
- Excellent communication skills, both written and verbal, with the ability to present technical information to non-technical stakeholders.
- Ability to work independently and as part of a team in a fast-paced environment.
- Strong executive presence and leadership skills.
- Excellent communication skills, with the ability to effectively engage with different levels of management.
Preferred Qualifications:
- Experience in supply planning and forecasting within a commercial setting.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of advanced machine learning techniques and frameworks.
Additional Details
This job has a full time weekly schedule. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations
Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
Travel Required: Occasional
Shift: Day
Duration: No End Date
Job Function: Administration
AI ML Engineering Job Roles in Delaware
See all 49+ AI ML Engineering Jobs in Delaware
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Search AI ML Engineering Jobs in DelawareAI ML Engineering Jobs in Delaware: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Delaware?
Financial services firms are among the most active sponsors in Delaware, with institutions like JPMorgan Chase, Bank of America, and Barclays maintaining operations in Wilmington that hire quantitative and machine learning engineers. Life sciences companies including AstraZeneca and Incyte also sponsor technical AI roles. Delaware-incorporated holding companies for larger multinationals occasionally appear in sponsorship filings as well.
Which visa types are most common for AI/ML engineering roles in Delaware?
The H-1B visa is the most common visa category for AI/ML engineers in Delaware, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability may qualify for the O-1A. Multinational transfers into Delaware offices sometimes use the L-1B for specialized knowledge workers.
Which cities in Delaware have the most AI/ML engineering sponsorship jobs?
Wilmington is by far the primary concentration point for AI/ML sponsorship activity in Delaware, driven by its dense financial services sector. Newark, home to the University of Delaware and nearby corporate research facilities, also generates technical hiring. The I-95 corridor between Wilmington and the Pennsylvania border sees the most consistent demand for machine learning and data engineering talent.
How to find ai ml engineering visa sponsorship jobs in Delaware?
Migrate Mate filters job listings specifically for employers willing to sponsor work visas, which removes the guesswork of identifying sponsorship-friendly companies. For AI/ML engineering roles in Delaware, searching Migrate Mate by state and role category surfaces positions from financial services, life sciences, and technology employers who have active sponsorship programs. Filtering by visa type helps narrow results to your specific situation.
Are there any Delaware-specific factors AI/ML engineers should know about visa sponsorship?
Delaware's incorporation-friendly legal environment means many large companies are legally domiciled there even if their technical operations sit elsewhere, so job location and legal employer entity may differ. For H-1B purposes, the worksite location drives the prevailing wage determination, not the state of incorporation. AI/ML engineers should confirm which physical office location the role is tied to, as that affects the Department of Labor wage level used in the Labor Condition Application.
What is the prevailing wage for sponsored ai ml engineering jobs in Delaware?
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.