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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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.
ML Software Engineer Job Roles 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.