Data Science Manager Visa Sponsorship Jobs in Delaware
Data science manager roles in Delaware attract international candidates drawn to the state's financial services sector, life sciences companies, and proximity to Philadelphia's tech corridor. Major employers like DuPont, Incyte, and large banking institutions headquartered in Wilmington have established sponsorship track records for senior data and analytics leadership positions.
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Get Access To All JobsManager, Data Science
Location: Wilmington, DE (Hybrid Schedule)
OneMain Financial is seeking a Data Science Manager based out of Wilmington, DE, to join our innovative and fast-moving Data Science team.
Successful candidates will be willing to challenge assumptions and bring fresh ideas, own projects from inception to production, and collaborate with internal partners to improve customer experience and drive OneMain's financial performance.
Example projects include building underwriting models for our core personal loans business; evaluating new data sources, technologies, and model-building techniques; and developing algorithmic solutions to automate income verification.
Key qualities include creativity, clarity in communication, ability to strike a balance between speed to market and quality of delivery, and a willingness to seek out or develop new tools and ideas. Bring your individual strengths, knowledge, and interests to bear on the problems we tackle. Propose new ideas. Pursue some of them.
Responsibilities:
- Identify high impact opportunities where a model or data-related solution can provide large leverage. Then design, build, validate, implement, monitor, and improve that data science solution.
- Identify new data sources, new technologies, new techniques, and new insights that will create value for our customers and lines of business.
- Promote best practices for model development and software design.
- Communicate and collaborate with cross-functional partners.
- Work with third-party vendor partners to evaluate data and products and integrate those that show promise into our data science practices and platforms.
- Develop testing & control procedures to ensure execution accuracy and effective post-implementation monitoring.
- Independently complete analyses, draw conclusions, and present results to influence business & strategy decisions.
- Unlock insights from non-traditional data sources such as information from other industries, tax data, deposit data, demographic data, and digital data.
Requirements
Technical skills:
- Proven experience with data analysis and coding equivalent to 4+ years of experience working as a data scientist
- Applied experience with a variety of modeling techniques like regression, boosted decision trees, deep learning, NLP, and so forth
- Strong software development skills covering design, algorithms, optimization, testing, and source control
- Hands-on experience with building self-contained solutions with clear interfaces
- Demonstrable mathematical and algorithmic aptitude
Communication:
- Outstanding communication skills with the comfort to interact with all levels with clarity and at an appropriate level of detail
- Ability to identify and convey the essential information in every communication
- Ability to understand the business intent behind every project and tell the story around it
- Willingness to propose and defend ideas
Collaboration:
- Experience working in cross-functional teams across a large, multi-stakeholder organization
- Ability to work with a high degree of autonomy: can resolve or escalate issues appropriately; can fill in the gaps when requirements are incomplete
- Ability to work with teams of diverse individuals focused on several disparate projects simultaneously
Risk management mindset:
- Can foresee risks and potential points of failure in a data science system and appropriately mitigate or manage them
- Anticipate weaknesses in models, software, and systems
- Use defensive practices to build robust products (e.g. testing, code review)
- Minimize surface area for failure (develop around clear interfaces, use well-understood tools, minimize external dependencies)
- Prepare for the unexpected (fail fast with clear error messages, develop failure contingency plans)
- Understand the importance of monitoring production systems and setting up clear alert systems
- Appropriately balance the tradeoffs between the use of cutting-edge enterprise systems vs. simple and familiar tooling
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)
- 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.
Manager, Data Science
Location: Wilmington, DE (Hybrid Schedule)
OneMain Financial is seeking a Data Science Manager based out of Wilmington, DE, to join our innovative and fast-moving Data Science team.
Successful candidates will be willing to challenge assumptions and bring fresh ideas, own projects from inception to production, and collaborate with internal partners to improve customer experience and drive OneMain's financial performance.
Example projects include building underwriting models for our core personal loans business; evaluating new data sources, technologies, and model-building techniques; and developing algorithmic solutions to automate income verification.
Key qualities include creativity, clarity in communication, ability to strike a balance between speed to market and quality of delivery, and a willingness to seek out or develop new tools and ideas. Bring your individual strengths, knowledge, and interests to bear on the problems we tackle. Propose new ideas. Pursue some of them.
Responsibilities:
- Identify high impact opportunities where a model or data-related solution can provide large leverage. Then design, build, validate, implement, monitor, and improve that data science solution.
- Identify new data sources, new technologies, new techniques, and new insights that will create value for our customers and lines of business.
- Promote best practices for model development and software design.
- Communicate and collaborate with cross-functional partners.
- Work with third-party vendor partners to evaluate data and products and integrate those that show promise into our data science practices and platforms.
- Develop testing & control procedures to ensure execution accuracy and effective post-implementation monitoring.
- Independently complete analyses, draw conclusions, and present results to influence business & strategy decisions.
- Unlock insights from non-traditional data sources such as information from other industries, tax data, deposit data, demographic data, and digital data.
Requirements
Technical skills:
- Proven experience with data analysis and coding equivalent to 4+ years of experience working as a data scientist
- Applied experience with a variety of modeling techniques like regression, boosted decision trees, deep learning, NLP, and so forth
- Strong software development skills covering design, algorithms, optimization, testing, and source control
- Hands-on experience with building self-contained solutions with clear interfaces
- Demonstrable mathematical and algorithmic aptitude
Communication:
- Outstanding communication skills with the comfort to interact with all levels with clarity and at an appropriate level of detail
- Ability to identify and convey the essential information in every communication
- Ability to understand the business intent behind every project and tell the story around it
- Willingness to propose and defend ideas
Collaboration:
- Experience working in cross-functional teams across a large, multi-stakeholder organization
- Ability to work with a high degree of autonomy: can resolve or escalate issues appropriately; can fill in the gaps when requirements are incomplete
- Ability to work with teams of diverse individuals focused on several disparate projects simultaneously
Risk management mindset:
- Can foresee risks and potential points of failure in a data science system and appropriately mitigate or manage them
- Anticipate weaknesses in models, software, and systems
- Use defensive practices to build robust products (e.g. testing, code review)
- Minimize surface area for failure (develop around clear interfaces, use well-understood tools, minimize external dependencies)
- Prepare for the unexpected (fail fast with clear error messages, develop failure contingency plans)
- Understand the importance of monitoring production systems and setting up clear alert systems
- Appropriately balance the tradeoffs between the use of cutting-edge enterprise systems vs. simple and familiar tooling
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)
- 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 Manager Job Roles in Delaware
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Search Data Science Manager Jobs in DelawareData Science Manager Jobs in Delaware: Frequently Asked Questions
Which companies in Delaware sponsor visas for data science managers?
Delaware's largest visa sponsors for data science and analytics leadership roles include DuPont, Incyte Corporation, JPMorgan Chase, Bank of America, and Chemours, all with significant operations in Wilmington. The state's favorable corporate incorporation environment also means many financial technology firms and insurance companies are registered there and actively hire senior data professionals requiring H-1B visa sponsorship.
Which visa types are most common for data science manager roles in Delaware?
H-1B is the most common visa category for data science managers in Delaware, given the role's clear specialty occupation classification requiring advanced degrees in data science, statistics, or computer science. Candidates already holding L-1A visas through multinational employers, particularly in financial services or life sciences, sometimes transition into managerial data roles. O-1A is an option for those with documented exceptional contributions to the field.
Which cities in Delaware have the most data science manager sponsorship jobs?
Wilmington accounts for the overwhelming majority of data science manager sponsorship activity in Delaware, driven by its concentration of financial institutions, pharmaceutical companies, and corporate headquarters. Newark, home to the University of Delaware, sees some hiring from tech-adjacent employers and research-oriented organizations. Dover has a much smaller footprint for this role type, making Wilmington the clear primary target for job seekers.
How to find data science manager visa sponsorship jobs in Delaware?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data science manager openings in Delaware without sorting through employers who don't sponsor. Because Delaware's market is smaller than nearby Philadelphia or New York, setting up alerts on Migrate Mate for Delaware-specific postings ensures you catch new sponsorship-eligible roles from financial services and life sciences employers as they appear.
Are there any state-specific considerations for data science managers pursuing sponsorship in Delaware?
Delaware's small size means the local job market for data science managers is concentrated in a few industries, primarily financial services and pharmaceuticals, so candidates benefit from tailoring their experience to those sectors. Delaware does not have a state income tax on wages for workers living outside the state, which is relevant for those commuting from Pennsylvania or New Jersey. University of Delaware also produces a pipeline of analytics talent that hiring managers frequently reference when evaluating senior candidates.
What is the prevailing wage for sponsored data science manager 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.