ML Software Engineer Visa Sponsorship Jobs in Delaware
Delaware's ML software engineer job market centers on Wilmington, where major financial institutions like JPMorgan Chase, Bank of America, and Capital One maintain significant technology operations. The University of Delaware's computer science pipeline also feeds demand in Newark. Employers here actively file H-1B visa petitions for ML roles, particularly in fintech and data infrastructure.
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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
ML Software Engineer Job Roles in Delaware
See all 49+ ML Software Engineer Jobs in Delaware
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Search ML Software Engineer Jobs in DelawareML Software Engineer Jobs in Delaware: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in Delaware?
Financial services firms are the dominant sponsors in Delaware. JPMorgan Chase, Bank of America, Capital One, and DuPont have all filed H-1B petitions for ML-related engineering roles in the state. Smaller fintech companies operating out of Wilmington also sponsor, though less frequently. Checking DOL LCA disclosure data for Delaware employers gives you a verified picture of active sponsors.
Which visa types are most common for ML software engineer roles in Delaware?
The H-1B is the most common visa for ML software engineers in Delaware. The role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, statistics, or a closely related field. Candidates already holding OPT or STEM OPT can often begin work before an H-1B petition is approved. L-1B visas appear occasionally for intracompany transfers at large financial firms with global operations.
Which cities in Delaware have the most ML software engineer sponsorship jobs?
Wilmington accounts for the large majority of ML software engineer sponsorship activity in Delaware, driven by its concentration of financial services and corporate headquarters. Newark is a secondary hub, influenced by proximity to the University of Delaware and a small cluster of technology firms. Dover and other parts of the state see very limited ML engineering hiring compared to these two cities.
How to find ml software engineer visa sponsorship jobs in Delaware?
Migrate Mate filters job listings specifically by visa sponsorship, so you can browse ML software engineer openings in Delaware without sifting through roles that don't offer sponsorship. Searching by state and role on Migrate Mate surfaces positions at Delaware's financial institutions and tech employers that have an active sponsorship history. This saves significant time compared to reviewing unfiltered postings.
Are there state-specific considerations for ML software engineers pursuing sponsorship in Delaware?
Delaware's ML engineering market is heavily shaped by its financial services sector, so many roles involve compliance-sensitive data work, which can add background check requirements beyond standard immigration processing. The University of Delaware's computer science and data science programs create a local graduate pipeline that employers draw from, meaning international candidates compete alongside a strong pool of OPT-eligible graduates already in the state.
What is the prevailing wage for sponsored ml software engineer 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.