Machine Learning Researcher Visa Sponsorship Jobs in Delaware
Machine learning researcher visa sponsorship jobs in Delaware are concentrated around Wilmington's financial technology sector and the University of Delaware's research ecosystem in Newark. Major employers including JPMorgan Chase, AstraZeneca, and DuPont de Nemours have filed for research and AI roles in the state, making Delaware a focused but active market for international candidates in this field.
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Join JPMorganChase's Card business as a Data Scientist Director, leading the Card Data & Analytics Customer & Strategic Analytics team. You will lead a high-performing organization of analytics leaders, data scientists, and analysts to drive measurable business impact through AI, machine learning, and advanced analytics. This is a senior leadership role that sits at the intersection of innovation and execution—requiring equal parts technical depth, strategic vision, and people leadership. As a Data Scientist Director at JPMorganChase within the Card Data & Analytics Customer & Strategic Analytics team, you will lead end-to-end delivery of AI and analytics solutions that shape product strategy, customer experience, and competitive positioning. You will build and develop a diverse team of analytics professionals, set technical and analytical direction across multiple business domains, and translate complex insights into clear, actionable recommendations for senior stakeholders. You will foster a culture of intellectual curiosity, inclusion, and continuous improvement while influencing roadmaps, shaping business decisions, and building organizational capability.
Job Responsibilities
- Define and drive the AI strategy for Card Data & Analytics, identifying high-value opportunities for generative AI, agentic AI, and analytics innovation to create competitive advantage
- Partner with Data, Product, and Technology to deliver AI and machine learning solutions from ideation and prototyping through production deployment, ensuring solutions are scalable, responsible, and aligned to business needs
- Stay current on emerging AI and machine learning techniques and translate new capabilities into practical applications for the Card business
- Lead analytics supporting customer experience and benefits, delivering insights that inform customer engagement, product design, portfolio performance, and pricing and targeting strategies
- Partner with Product, Risk, and Finance stakeholders to define analytical priorities, interpret results, and drive data-informed decisions
- Drive measurement frameworks, experimentation (including A/B testing and causal inference), and personalization strategies that improve customer experience and benefits utilization
- Translate customer data into actionable insights that inform marketing, product, and servicing strategies. Build and lead competitive intelligence analytics capabilities that monitor market trends, competitor positioning, and industry benchmarks within the Card space
- Partner with external vendors and synthesize internal and external data sources to provide senior leaders a clear view of the competitive landscape
- Deliver forward-looking analyses that inform strategic planning and product roadmap decisions for the Card business
- Lead, mentor, and develop a multi-layered team of analytics leaders, data scientists, and analysts, fostering a high-performance, inclusive, growth-oriented culture. Set clear goals and performance expectations, provide ongoing coaching, and support career development across all levels of the team
- Attract and retain top analytics talent through hiring, onboarding, and skills development programs. Champion a culture of innovation, intellectual rigor, and collaborative problem-solving across the broader Card Data & Analytics organization.
Required Qualifications, Capabilities, And Skills
- Master's or PhD in a quantitative field and 10+ years of analytics experience
- Proven senior leadership experience managing and developing multi-disciplinary analytics teams, including managers and individual contributors, in a large enterprise environment
- Deep expertise in data science and analytics, including hands-on experience with predictive modeling, statistical analysis, segmentation, and experimentation
- Demonstrated ability to deliver AI, machine learning, and analytics solutions that drive measurable business outcomes, ideally within financial services or consumer products
- Strong business acumen with the ability to frame analytical problems in terms of business strategy and translate insights into executive-level recommendations
- Experience leading analytics across multiple concurrent business domains, balancing near-term delivery with longer-term capability building
- Exceptional stakeholder management and communication skills, with a track record of influencing senior leaders and cross-functional partners
- Proficiency in Python and/or R, and experience with modern data platforms such as Snowflake or Databricks
- Strong project and program management skills, including the ability to define success metrics, manage risks, and drive execution across complex initiatives
Preferred Qualifications, Capabilities, And Skills
- Experience in Card, consumer lending, or payments analytics, including familiarity with installment products, credit risk, or customer lifecycle management
- Hands-on experience with generative AI solutions, including large language models, retrieval-augmented generation, and agentic AI frameworks
- Experience building or leading competitive intelligence functions using alternative data, market data, or external benchmarking
- Experience with causal inference, A/B testing, and experimentation frameworks at scale
- Familiarity with responsible AI principles, model governance, and regulatory considerations in financial services
- Experience enabling analytics adoption through change management, self-service tooling, or organizational enablement
- Familiarity with Agile delivery methods and modern product practices
About us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans
About The Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
Job Description
Join JPMorganChase's Card business as a Data Scientist Director, leading the Card Data & Analytics Customer & Strategic Analytics team. You will lead a high-performing organization of analytics leaders, data scientists, and analysts to drive measurable business impact through AI, machine learning, and advanced analytics. This is a senior leadership role that sits at the intersection of innovation and execution—requiring equal parts technical depth, strategic vision, and people leadership. As a Data Scientist Director at JPMorganChase within the Card Data & Analytics Customer & Strategic Analytics team, you will lead end-to-end delivery of AI and analytics solutions that shape product strategy, customer experience, and competitive positioning. You will build and develop a diverse team of analytics professionals, set technical and analytical direction across multiple business domains, and translate complex insights into clear, actionable recommendations for senior stakeholders. You will foster a culture of intellectual curiosity, inclusion, and continuous improvement while influencing roadmaps, shaping business decisions, and building organizational capability.
Job Responsibilities
- Define and drive the AI strategy for Card Data & Analytics, identifying high-value opportunities for generative AI, agentic AI, and analytics innovation to create competitive advantage
- Partner with Data, Product, and Technology to deliver AI and machine learning solutions from ideation and prototyping through production deployment, ensuring solutions are scalable, responsible, and aligned to business needs
- Stay current on emerging AI and machine learning techniques and translate new capabilities into practical applications for the Card business
- Lead analytics supporting customer experience and benefits, delivering insights that inform customer engagement, product design, portfolio performance, and pricing and targeting strategies
- Partner with Product, Risk, and Finance stakeholders to define analytical priorities, interpret results, and drive data-informed decisions
- Drive measurement frameworks, experimentation (including A/B testing and causal inference), and personalization strategies that improve customer experience and benefits utilization
- Translate customer data into actionable insights that inform marketing, product, and servicing strategies. Build and lead competitive intelligence analytics capabilities that monitor market trends, competitor positioning, and industry benchmarks within the Card space
- Partner with external vendors and synthesize internal and external data sources to provide senior leaders a clear view of the competitive landscape
- Deliver forward-looking analyses that inform strategic planning and product roadmap decisions for the Card business
- Lead, mentor, and develop a multi-layered team of analytics leaders, data scientists, and analysts, fostering a high-performance, inclusive, growth-oriented culture. Set clear goals and performance expectations, provide ongoing coaching, and support career development across all levels of the team
- Attract and retain top analytics talent through hiring, onboarding, and skills development programs. Champion a culture of innovation, intellectual rigor, and collaborative problem-solving across the broader Card Data & Analytics organization.
Required Qualifications, Capabilities, And Skills
- Master's or PhD in a quantitative field and 10+ years of analytics experience
- Proven senior leadership experience managing and developing multi-disciplinary analytics teams, including managers and individual contributors, in a large enterprise environment
- Deep expertise in data science and analytics, including hands-on experience with predictive modeling, statistical analysis, segmentation, and experimentation
- Demonstrated ability to deliver AI, machine learning, and analytics solutions that drive measurable business outcomes, ideally within financial services or consumer products
- Strong business acumen with the ability to frame analytical problems in terms of business strategy and translate insights into executive-level recommendations
- Experience leading analytics across multiple concurrent business domains, balancing near-term delivery with longer-term capability building
- Exceptional stakeholder management and communication skills, with a track record of influencing senior leaders and cross-functional partners
- Proficiency in Python and/or R, and experience with modern data platforms such as Snowflake or Databricks
- Strong project and program management skills, including the ability to define success metrics, manage risks, and drive execution across complex initiatives
Preferred Qualifications, Capabilities, And Skills
- Experience in Card, consumer lending, or payments analytics, including familiarity with installment products, credit risk, or customer lifecycle management
- Hands-on experience with generative AI solutions, including large language models, retrieval-augmented generation, and agentic AI frameworks
- Experience building or leading competitive intelligence functions using alternative data, market data, or external benchmarking
- Experience with causal inference, A/B testing, and experimentation frameworks at scale
- Familiarity with responsible AI principles, model governance, and regulatory considerations in financial services
- Experience enabling analytics adoption through change management, self-service tooling, or organizational enablement
- Familiarity with Agile delivery methods and modern product practices
About us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans
About The Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
Machine Learning Researcher Job Roles in Delaware
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Search Machine Learning Researcher Jobs in DelawareMachine Learning Researcher Jobs in Delaware: Frequently Asked Questions
Which companies sponsor visas for machine learning researchers in Delaware?
Delaware's most active sponsors for machine learning researcher roles include JPMorgan Chase and other financial services firms in Wilmington, as well as pharmaceutical and life sciences companies such as AstraZeneca and legacy DuPont spin-offs in the Wilmington corridor. The University of Delaware in Newark also sponsors researchers through academic and sponsored research positions. OFLC Labor Condition Application disclosure data confirms active H-1B visa filings from these employers for research-category roles.
Which visa types realistically fit machine learning researcher roles in Delaware?
Machine learning researcher roles typically qualify as specialty occupations requiring a directly related bachelor's degree or higher, making the H-1B the primary pathway. Candidates from Australia can use the E-3 visa, while Chilean and Singaporean nationals may qualify under H-1B1 visa. J-1 visa exchange visitor status suits postdoctoral and academic research placements at the University of Delaware. F-1 students with STEM-designated degrees can work under OPT or the 24-month STEM OPT extension before transitioning to employer-sponsored status. EB-2 or EB-3 green cards are the standard long-term pathway.
How to find machine learning researcher visa sponsorship jobs in Delaware?
Migrate Mate lists Delaware employers with verified sponsorship history for machine learning researcher roles, letting you search specifically within the state rather than sorting through national postings. Because machine learning research openings in Delaware are concentrated among a smaller set of employers in Wilmington and Newark, filtering by confirmed LCA filing history is the most efficient way to identify which companies are actively hiring international candidates for these positions.
Which cities in Delaware have the most machine learning researcher sponsorship jobs?
Wilmington is Delaware's primary hub for machine learning researcher sponsorship, driven by its concentration of financial services, insurance, and pharmaceutical headquarters. Newark is the second key location, anchored by the University of Delaware and affiliated research centers that regularly sponsor international researchers. Smaller activity exists in Dover, though the state capital has far fewer research-focused employers. For most international candidates, targeting roles in the Wilmington-Newark corridor maximizes available opportunities.
Are there state-specific factors that affect machine learning researcher sponsorship in Delaware?
Delaware's incorporation-friendly legal environment has attracted numerous corporate headquarters, but the actual research and development workforce is relatively small compared to larger tech states. The University of Delaware's data science and AI programs create a consistent pipeline of research talent and employer relationships. Life sciences companies along the Wilmington corridor increasingly integrate machine learning into drug discovery workflows, expanding demand beyond pure technology firms. Delaware's proximity to Philadelphia also means some employers maintain offices in both markets.
What is the prevailing wage for sponsored machine learning researcher 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.