Data Science Analyst Visa Sponsorship Jobs in Delaware
Data science analyst roles in Delaware are concentrated around Wilmington's financial and pharmaceutical corridor, with employers like JPMorgan Chase, Bank of America, AstraZeneca, and DuPont consistently filing for work visa sponsorship. The state's proximity to Philadelphia expands the talent market, and the University of Delaware supplies a steady pipeline of candidates into sponsored analytical roles.
Find Data Science Analyst JobsOverview
Showing 5 of 42+ Data Science Analyst Jobs in Delaware with Visa Sponsorship
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 42+ Data Science Analyst Jobs in Delaware with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Analyst Jobs in Delaware with Visa Sponsorship.
Get Access To All JobsSenior Analyst - Credit Execution
Schedule: Full-Time Hybrid
Location: Wilmington, DE
We are seeking a Senior Analyst to join our Credit Analytics Credit Execution Team to support the implementation of credit and pricing-related strategies and models for the personal loans’ portfolio across affiliate and partner platforms. This role will focus on delivering high-quality work products across various credit execution and decisioning operations engagements, collaborating closely with Data science, Analytics, Product, and Technology partners. You will work across platforms such as Credit Karma LightBox, Experian Activate, and other affiliate engagement channels, as well as backend decisioning platform integrations, to drive business impact through disciplined technical execution.
In the Role
- Implement credit and pricing-related strategies into production-ready logic for personal loan origination workflows across affiliate platforms and backend decisioning systems.
- Own end-to-end delivery, with minimum supervision, of strategy and model deployments, from requirements intake and technical specification through testing, validation, and production release.
- Serve as the execution point of contact for affiliate platform integrations, developing and maintaining platform-specific configurations, eligibility logic, and offer presentation workflows.
- Build and maintain Python-based scripts, data pipelines, and automation tools to support batch file generation, data extraction, eligibility processing, and reporting workflows.
- Write and optimize SQL queries for data analysis, strategy validation, and portfolio performance monitoring across large-scale datasets.
- Design and execute test-and-control frameworks (e.g., A/B split designs, eligibility segmentation) for new strategy rollouts and affiliate integrations.
- Monitor deployed models and strategies and affiliate channel performance against expected benchmarks and recommend data-driven optimizations.
- Prepare and deliver high-quality documentation, executive summaries, and evaluation materials for leadership review.
- Proactively identify process improvement opportunities across the credit execution lifecycle and propose solutions backed by data.
Required
- Bachelor’s degree in computer science, engineering, or related quantitative field (Master’s degree preferred) and 4+ years in financial services with experience in credit risk, lending operations, or decisioning.
- Strong Python programming expertise, including proficiency with core data structures, object-oriented programming principles, and standard libraries (pandas, NumPy, requests).
- Proficiency in SQL and experience working with large datasets (Snowflake, SQL Server, or equivalent).
- Solid understanding of modern system architecture concepts (microservices, APIs, event-driven design).
- Familiarity with containerization concepts (Docker, Kubernetes) and CI/CD pipelines.
- Understanding of version control (Git) and modern software development practices.
- Demonstrated ability to work independently with minimal oversight and drive initiatives through ambiguity.
- Strong written and verbal communication skills with the ability to influence stakeholders and clearly articulate opportunities, trade-offs, and recommendations.
Preferred
- Experience in credit decisioning or personal loan origination workflows within the financial services domain.
- Familiarity with Credit Bureau data formats, basic statistics, and experience with data wrangling & visualization.
- Exposure to LLM/AI tooling for process automation, documentation generation, or code assistance within a professional context, but not reliant upon LLM/AI.
- Hands-on experience with Jira-based workflows, sprint capacity planning, and Agile delivery practices.
Who We Are
OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.
Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain.
Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-timers with:
- Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances
- Up to 4% matching 401(k)
- Employee Stock Purchase Plan (10% share discount)
- Tuition reimbursement
- Paid time off (15 days’ vacation per year, plus 2 personal days)
- Paid sick leave as determined by state or local ordinance, prorated based on start date
- Paid holidays (11 days per year, based on start date)
- Paid volunteer time (3 days per year, prorated based on start date)
OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.
Senior Analyst - Credit Execution
Schedule: Full-Time Hybrid
Location: Wilmington, DE
We are seeking a Senior Analyst to join our Credit Analytics Credit Execution Team to support the implementation of credit and pricing-related strategies and models for the personal loans’ portfolio across affiliate and partner platforms. This role will focus on delivering high-quality work products across various credit execution and decisioning operations engagements, collaborating closely with Data science, Analytics, Product, and Technology partners. You will work across platforms such as Credit Karma LightBox, Experian Activate, and other affiliate engagement channels, as well as backend decisioning platform integrations, to drive business impact through disciplined technical execution.
In the Role
- Implement credit and pricing-related strategies into production-ready logic for personal loan origination workflows across affiliate platforms and backend decisioning systems.
- Own end-to-end delivery, with minimum supervision, of strategy and model deployments, from requirements intake and technical specification through testing, validation, and production release.
- Serve as the execution point of contact for affiliate platform integrations, developing and maintaining platform-specific configurations, eligibility logic, and offer presentation workflows.
- Build and maintain Python-based scripts, data pipelines, and automation tools to support batch file generation, data extraction, eligibility processing, and reporting workflows.
- Write and optimize SQL queries for data analysis, strategy validation, and portfolio performance monitoring across large-scale datasets.
- Design and execute test-and-control frameworks (e.g., A/B split designs, eligibility segmentation) for new strategy rollouts and affiliate integrations.
- Monitor deployed models and strategies and affiliate channel performance against expected benchmarks and recommend data-driven optimizations.
- Prepare and deliver high-quality documentation, executive summaries, and evaluation materials for leadership review.
- Proactively identify process improvement opportunities across the credit execution lifecycle and propose solutions backed by data.
Required
- Bachelor’s degree in computer science, engineering, or related quantitative field (Master’s degree preferred) and 4+ years in financial services with experience in credit risk, lending operations, or decisioning.
- Strong Python programming expertise, including proficiency with core data structures, object-oriented programming principles, and standard libraries (pandas, NumPy, requests).
- Proficiency in SQL and experience working with large datasets (Snowflake, SQL Server, or equivalent).
- Solid understanding of modern system architecture concepts (microservices, APIs, event-driven design).
- Familiarity with containerization concepts (Docker, Kubernetes) and CI/CD pipelines.
- Understanding of version control (Git) and modern software development practices.
- Demonstrated ability to work independently with minimal oversight and drive initiatives through ambiguity.
- Strong written and verbal communication skills with the ability to influence stakeholders and clearly articulate opportunities, trade-offs, and recommendations.
Preferred
- Experience in credit decisioning or personal loan origination workflows within the financial services domain.
- Familiarity with Credit Bureau data formats, basic statistics, and experience with data wrangling & visualization.
- Exposure to LLM/AI tooling for process automation, documentation generation, or code assistance within a professional context, but not reliant upon LLM/AI.
- Hands-on experience with Jira-based workflows, sprint capacity planning, and Agile delivery practices.
Who We Are
OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.
Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain.
Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-timers with:
- Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances
- Up to 4% matching 401(k)
- Employee Stock Purchase Plan (10% share discount)
- Tuition reimbursement
- Paid time off (15 days’ vacation per year, plus 2 personal days)
- Paid sick leave as determined by state or local ordinance, prorated based on start date
- Paid holidays (11 days per year, based on start date)
- Paid volunteer time (3 days per year, prorated based on start date)
OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.
Data Science Analyst Job Roles in Delaware
See all 42+ Data Science Analyst Jobs in Delaware
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Science Analyst Jobs in DelawareData Science Analyst Jobs in Delaware: Frequently Asked Questions
Which companies sponsor visas for data science analysts in Delaware?
Financial services firms and life sciences companies are the most active sponsors in Delaware. JPMorgan Chase, Bank of America, and Capital One have filed H-1B visa petitions for data and analytics roles in Wilmington. On the pharma side, AstraZeneca and Incyte have sponsored analysts in their Delaware operations. DuPont, one of the state's longest-standing employers, also has a history of sponsoring technical roles including data science positions.
Which visa types are most common for data science analyst roles in Delaware?
The H-1B is by far the most common visa category for data science analyst positions in Delaware. The role typically qualifies as a specialty occupation because it requires at least a bachelor's degree in a quantitative field such as statistics, computer science, or mathematics. Some candidates also enter on F-1 OPT or STEM OPT extensions before transitioning to H-1B sponsorship through their employer.
Which cities in Delaware have the most data science analyst sponsorship jobs?
Wilmington is where the overwhelming majority of Delaware's sponsored data science analyst roles are posted. It serves as the state's commercial hub, housing headquarters and major offices for financial institutions and pharmaceutical companies. Newark, home to the University of Delaware and a growing tech presence, also sees occasional sponsorship activity. Dover, the state capital, has a smaller but developing analytics sector tied to government-adjacent work.
How to find data science analyst visa sponsorship jobs in Delaware?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify Delaware employers actively hiring data science analysts who need work authorization. Rather than sifting through general job postings that rarely clarify sponsorship status upfront, Migrate Mate surfaces roles where sponsorship is explicitly offered, saving significant time for international candidates targeting Delaware's financial services and life sciences sectors.
Are there any state-specific considerations for data science analysts seeking sponsorship in Delaware?
Delaware's concentration in financial services means many data science analyst roles fall under compliance-heavy environments, which can affect how employers structure job descriptions and degree requirements for H-1B petitions. The state's small size also means the job market is more concentrated than neighboring states, so candidates benefit from targeting specific industry clusters rather than broad searches. The University of Delaware's strong analytics programs also create an active OPT-to-H-1B pipeline worth understanding.
What is the prevailing wage for sponsored data science analyst 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.