Data Scientist Visa Sponsorship Jobs in Delaware
Data scientist roles in Delaware are concentrated around Wilmington's financial and pharmaceutical corridor, with employers like JPMorgan Chase, Bank of America, AstraZeneca, and DuPont regularly hiring for these positions. The state's proximity to Philadelphia expands the hiring pool further, and several firms have a track record of sponsoring H-1B visas for qualified data science candidates.
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Get Access To All JobsJob 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
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
Data Scientist Job Roles in Delaware
See all 39+ Data Scientist Jobs in Delaware
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Search Data Scientist Jobs in DelawareData Scientist Jobs in Delaware: Frequently Asked Questions
Which companies sponsor visas for data scientists in Delaware?
Delaware's largest visa sponsors for data scientist roles include major financial institutions headquartered or operating in Wilmington, such as JPMorgan Chase, Bank of America, and Barclays, as well as life sciences companies including AstraZeneca and Incyte. DuPont and Chemours also have a history of sponsoring technical roles. Sponsorship availability varies by hiring cycle and specific team needs.
Which visa types are most common for data scientist roles in Delaware?
The H-1B is the most common visa category for data scientist positions in Delaware, as the role consistently meets the specialty occupation standard requiring a bachelor's degree or higher in a relevant field such as statistics, computer science, or mathematics. Some employers also use the O-1A for candidates with demonstrated exceptional ability, and recent graduates on F-1 OPT or STEM OPT extensions are frequently hired before transitioning to H-1B status.
Which cities in Delaware have the most data scientist sponsorship jobs?
Wilmington accounts for the large majority of data scientist sponsorship activity in Delaware, driven by its concentration of financial services firms and corporate headquarters. Newark, home to the University of Delaware, sees some hiring activity connected to research and tech-adjacent employers. The rest of the state has limited data science hiring, making Wilmington the practical focus for international job seekers targeting Delaware.
How to find data scientist visa sponsorship jobs in Delaware?
Migrate Mate filters job listings specifically for roles where employers have a history of visa sponsorship, making it a practical starting point for data scientist candidates targeting Delaware. You can search by state and role to surface relevant openings at Wilmington-area financial and pharmaceutical employers. Because Delaware's market is smaller than nearby Philadelphia or New York, checking regularly and setting alerts helps surface new postings quickly.
Are there any state-specific factors that affect data scientist sponsorship in Delaware?
Delaware's data science hiring is heavily weighted toward financial services and life sciences, meaning prevailing wage determinations for H-1B petitions are benchmarked against those industries rather than a broad tech average. The University of Delaware and Delaware State University supply some local talent, but employers routinely recruit nationally and internationally for senior data science roles. Delaware's small size means fewer total openings compared to larger states, so competition for sponsored positions can be meaningful.
What is the prevailing wage for sponsored data scientist 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.