Huntington National Bank Green Card Visa Sponsorship Jobs USA
Huntington National Bank sponsors Green Card visas for skilled professionals across banking, technology, and operations roles. It maintains a consistent Green Card sponsorship track record, making it a meaningful option for foreign nationals building long-term careers in financial services in the United States.
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Get Access To All JobsCompany: Huntington National Bank
Job Title: Data Scientist Intermediate to Senior Positions Available
Type: Contract to Hire
Rate: Dependent on Experience $48 to 58/hour W2 75-100k conversion salary with bonus
Location: 4 days/week Onsite in Columbus, OH 43215
Summary
Huntington Bank is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team.
The Team:
You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics organization. Team members are highly skilled in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics. Members of the team primarily support the Digital and Omnichannel organizations but are strategically positioned to partner with and support nearly every part of the company including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banks, Private Client Group, Enterprise Payments, and IT. We align with our partners within the Agile development framework and support projects throughout their entire lifecycle from ideation through delivery on the largest and most visible projects undertaken at the company. This highly visible and critical role will be set in a fast-paced environment with the ability to influence not just any single project but the overall direction of the organization.
Duties and Responsibilities:
- Ability to use advanced analytics methods to extract value from business data.
- Ability to perform large-scale experimentation and build data-driven models to answer business questions.
- Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
- Determines requirements that will be used to train and evolve deep learning models and algorithms.
- Influences product teams through presentation of data-based recommendations.
- Performs other duties as assigned.
Basic Qualifications:
- Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree
- or in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years’ work experience in analytics or data science
- Experience with R, RStudio, Python, SAS, SQL, NoSQL
Preferred Qualifications:
- Up-to-date knowledge of machine learning and data analytics tools and techniques
- Knowledge in predictive modeling methodology
- Experienced at leveraging both structured and unstructured data sources
- Willingness and ability to learn new technologies on the job
- Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
- Work and/or educational experience with big data analysis tools and techniques
- Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines
- Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
- Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
- Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
- Financial Services background
About Candidate:
A curious mind with a thirst for discovery, answers, optimization, and continuous improvement
- Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels
- Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity
- Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
- Experience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment
- Experience in banking or financial services is a plus
The salary range for this position is $48 to $58 and hour w2 (dependent on experience). Benefits available to contract/temporary professionals, include medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
Company: Huntington National Bank
Job Title: Data Scientist Intermediate to Senior Positions Available
Type: Contract to Hire
Rate: Dependent on Experience $48 to 58/hour W2 75-100k conversion salary with bonus
Location: 4 days/week Onsite in Columbus, OH 43215
Summary
Huntington Bank is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team.
The Team:
You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics organization. Team members are highly skilled in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics. Members of the team primarily support the Digital and Omnichannel organizations but are strategically positioned to partner with and support nearly every part of the company including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banks, Private Client Group, Enterprise Payments, and IT. We align with our partners within the Agile development framework and support projects throughout their entire lifecycle from ideation through delivery on the largest and most visible projects undertaken at the company. This highly visible and critical role will be set in a fast-paced environment with the ability to influence not just any single project but the overall direction of the organization.
Duties and Responsibilities:
- Ability to use advanced analytics methods to extract value from business data.
- Ability to perform large-scale experimentation and build data-driven models to answer business questions.
- Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
- Determines requirements that will be used to train and evolve deep learning models and algorithms.
- Influences product teams through presentation of data-based recommendations.
- Performs other duties as assigned.
Basic Qualifications:
- Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree
- or in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years’ work experience in analytics or data science
- Experience with R, RStudio, Python, SAS, SQL, NoSQL
Preferred Qualifications:
- Up-to-date knowledge of machine learning and data analytics tools and techniques
- Knowledge in predictive modeling methodology
- Experienced at leveraging both structured and unstructured data sources
- Willingness and ability to learn new technologies on the job
- Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
- Work and/or educational experience with big data analysis tools and techniques
- Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines
- Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
- Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
- Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
- Financial Services background
About Candidate:
A curious mind with a thirst for discovery, answers, optimization, and continuous improvement
- Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels
- Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity
- Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
- Experience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment
- Experience in banking or financial services is a plus
The salary range for this position is $48 to $58 and hour w2 (dependent on experience). Benefits available to contract/temporary professionals, include medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
Job Roles at Huntington National Bank
How to Get Visa Sponsorship in Huntington National Bank Green Card Visa Sponsorship Jobs USA
Target technology and operations roles
Huntington National Bank's Green Card sponsorships tend to concentrate in technology, data, and operations functions. Focusing your search on software engineering, data analytics, and risk management roles gives you the strongest chance of landing a position with Green Card support.
Confirm sponsorship willingness early in interviews
Banking employers like Huntington prefer candidates who raise Green Card sponsorship professionally and early. Ask your recruiter directly whether the specific role and team have a history of supporting permanent residency before investing heavily in the interview process.
Understand the PERM labor certification timeline
Green Card sponsorship at large banks typically begins with PERM labor certification, which can take a year or more before an I-140 petition is filed. Knowing this process helps you set realistic expectations and ask informed questions during your offer negotiations.
Use Migrate Mate to verify sponsorship history
Not every Huntington role comes with Green Card support. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you identify which Huntington job postings are realistically tied to employers with active Green Card programs.
Highlight specialized financial services skills
Huntington National Bank sponsors Green Cards for roles requiring specialized expertise that is genuinely hard to source domestically. Demonstrating depth in areas like regulatory compliance, quantitative modeling, or enterprise technology strengthens your case for employer-sponsored permanent residency.
Build internal relationships before your current visa expires
Green Card processes are long, and Huntington is more likely to initiate sponsorship for employees who have demonstrated performance over time. Starting conversations with your manager and HR well before any visa deadline gives the process the runway it needs.
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Get Access To All JobsFrequently Asked Questions
Does Huntington National Bank sponsor Green Card visas?
Yes, Huntington National Bank sponsors Green Card visas for qualifying employees. The bank has a consistent record of filing permanent residency petitions, particularly for professionals in technology, data, and specialized financial services roles. Sponsorship is typically offered after a period of employment and is not guaranteed at the point of hire.
Which roles and departments at Huntington National Bank are most likely to receive Green Card sponsorship?
Technology, software engineering, data science, risk management, and operations roles have historically been the strongest candidates for Green Card sponsorship at Huntington National Bank. Corporate and investment banking functions with specialized skill requirements also see sponsorship activity. Frontline retail banking and general administrative roles are far less commonly sponsored for permanent residency.
How does the Green Card application process work at Huntington National Bank?
For most employees, Huntington initiates the Green Card process through PERM labor certification, where the Department of Labor verifies no qualified U.S. worker is available for the role. Once certified, Huntington files an I-140 immigrant petition with USCIS. The employee then waits for a visa number to become available before filing for adjustment of status or consular processing.
How long does the Green Card process take at Huntington National Bank?
The timeline depends heavily on your country of birth and employment-based preference category. PERM and I-140 processing alone can take one to two years. For applicants born in India or China, visa backlogs in the EB-2 and EB-3 categories can extend the total wait to many years beyond that. Planning early and maintaining valid work authorization throughout is essential.
How do I find Green Card jobs at Huntington National Bank?
The most effective approach is to search specifically for Huntington roles that have a documented Green Card sponsorship history rather than relying on generic job boards. Migrate Mate lets you filter opportunities by verified sponsorship data, so you can identify Huntington National Bank positions where Green Card support is a realistic part of the offer rather than an uncertain possibility.
What is the prevailing wage for Green Card sponsorship at Huntington National Bank?
Employers sponsoring a Green Card through the PERM labor certification process must pay at least the prevailing wage for the role. The Department of Labor determines this rate based on the specific job title, location, and experience level. The prevailing wage is locked in during the PERM filing and applies through the entire Green Card process. You can look up current rates using the DOL's OFLC Wage Search tool.
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