Data Scientist Visa Sponsorship Jobs in Florida
Florida's data scientist job market spans healthcare analytics in Miami, defense and aerospace data roles in Orlando, and fintech operations in Tampa. Major employers including Lockheed Martin, AdventHealth, and Citigroup have sponsored data scientist positions in the state, making Florida a meaningful destination for international candidates seeking visa sponsorship.
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Requisition ID
95090
Department
NYL Direct
Job Function
NYL Direct
Location
Tampa, Florida, United States
Role Location Designation
Hybrid - 3 days per week
Location Designation: Hybrid - 3 days per week
Business Unit Overview:
At New York Life Direct, you’ll be joining the nation’s #1 direct-to-consumer provider of life insurance. The AARP Life Insurance Program from New York Life is endorsed by AARP and is the only life insurance program developed exclusively for AARP members. Your work will help more Americans achieve greater financial security and peace of mind.
Role Overview:
As a Senior Associate, Data Scientist on the Advanced Analytics team, you will lead and deliver data-driven insights and analytical solutions that support key business initiatives across New York Life Direct. Working as part of a collaborative team, you will apply statistical analysis, experimentation, and machine learning techniques to solve real-world business problems across marketing, underwriting, actuarial, operations, and fraud prevention. In this role, you will independently translate business questions into analytical frameworks, own the delivery of scalable analytics solutions, and contribute to the team’s overall impact.
What You’ll Do:
You will own data science projects and/or key analytical workstreams across the full lifecycle, including problem framing, data exploration, feature engineering, model development, evaluation, and communication of results. You will work independently but will also have access to a highly collaborative and experienced team to help tackle complex or ambiguous challenges. You will apply statistical and machine learning methods to analyze structured and unstructured data, generating insights that directly inform business decisions and strategies. Working with cross-functional stakeholders, you will proactively define business problems and translate them into analytical approaches, delivering clear, actionable recommendations. You will lead the development, testing, and deployment of models in partnership with engineering teams, applying best practices in model lifecycle management. Additionally, you will identify opportunities to improve processes, enhance model performance, and drive efficiency.
What You’ll Bring:
You bring a strong academic foundation in a quantitative field such as Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related discipline, along with professional experience applying data science or analytics to solve a broad range of business problems. You have working knowledge of programming languages such as Python or R and familiarity with SQL, along with a solid grounding in statistical analysis, machine learning concepts, and data manipulation. You are comfortable working with real-world datasets and can independently translate data into meaningful, actionable insights. You communicate clearly and effectively with both technical and non-technical audiences and can influence stakeholders through data-driven recommendations. You demonstrate sound judgment, attention to detail, and the ability to manage multiple priorities, along with a strong commitment to continuous learning.
Required Skills:
- Master’s degree in a quantitative field (or equivalent experience)
- Typically, 1–3+ years of experience applying data science or analytics in a business or applied setting
- Experience with Python and/or R, and familiarity with SQL
- Strong foundation in statistics, machine learning, and analytical problem-solving
- Demonstrated ability to independently execute end-to-end analytical projects
- Experience working with real-world datasets and delivering actionable insights
- Strong communication skills with the ability to influence both technical and non-technical stakeholders
- Ability to work independently with minimal supervision and manage competing priorities
Preferred Skills:
- Exposure to experimentation, model evaluation, or model monitoring
- Experience in financial services, insurance, or direct-to-consumer businesses
- Familiarity with cloud-based tools and platforms (e.g., AWS, Sagemaker)
- Experience applying generative AI in business settings
Pay Transparency
Salary Range: $80,000-$110,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners.
Job Requisition ID: 95090
Job Description
Requisition ID
95090
Department
NYL Direct
Job Function
NYL Direct
Location
Tampa, Florida, United States
Role Location Designation
Hybrid - 3 days per week
Location Designation: Hybrid - 3 days per week
Business Unit Overview:
At New York Life Direct, you’ll be joining the nation’s #1 direct-to-consumer provider of life insurance. The AARP Life Insurance Program from New York Life is endorsed by AARP and is the only life insurance program developed exclusively for AARP members. Your work will help more Americans achieve greater financial security and peace of mind.
Role Overview:
As a Senior Associate, Data Scientist on the Advanced Analytics team, you will lead and deliver data-driven insights and analytical solutions that support key business initiatives across New York Life Direct. Working as part of a collaborative team, you will apply statistical analysis, experimentation, and machine learning techniques to solve real-world business problems across marketing, underwriting, actuarial, operations, and fraud prevention. In this role, you will independently translate business questions into analytical frameworks, own the delivery of scalable analytics solutions, and contribute to the team’s overall impact.
What You’ll Do:
You will own data science projects and/or key analytical workstreams across the full lifecycle, including problem framing, data exploration, feature engineering, model development, evaluation, and communication of results. You will work independently but will also have access to a highly collaborative and experienced team to help tackle complex or ambiguous challenges. You will apply statistical and machine learning methods to analyze structured and unstructured data, generating insights that directly inform business decisions and strategies. Working with cross-functional stakeholders, you will proactively define business problems and translate them into analytical approaches, delivering clear, actionable recommendations. You will lead the development, testing, and deployment of models in partnership with engineering teams, applying best practices in model lifecycle management. Additionally, you will identify opportunities to improve processes, enhance model performance, and drive efficiency.
What You’ll Bring:
You bring a strong academic foundation in a quantitative field such as Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related discipline, along with professional experience applying data science or analytics to solve a broad range of business problems. You have working knowledge of programming languages such as Python or R and familiarity with SQL, along with a solid grounding in statistical analysis, machine learning concepts, and data manipulation. You are comfortable working with real-world datasets and can independently translate data into meaningful, actionable insights. You communicate clearly and effectively with both technical and non-technical audiences and can influence stakeholders through data-driven recommendations. You demonstrate sound judgment, attention to detail, and the ability to manage multiple priorities, along with a strong commitment to continuous learning.
Required Skills:
- Master’s degree in a quantitative field (or equivalent experience)
- Typically, 1–3+ years of experience applying data science or analytics in a business or applied setting
- Experience with Python and/or R, and familiarity with SQL
- Strong foundation in statistics, machine learning, and analytical problem-solving
- Demonstrated ability to independently execute end-to-end analytical projects
- Experience working with real-world datasets and delivering actionable insights
- Strong communication skills with the ability to influence both technical and non-technical stakeholders
- Ability to work independently with minimal supervision and manage competing priorities
Preferred Skills:
- Exposure to experimentation, model evaluation, or model monitoring
- Experience in financial services, insurance, or direct-to-consumer businesses
- Familiarity with cloud-based tools and platforms (e.g., AWS, Sagemaker)
- Experience applying generative AI in business settings
Pay Transparency
Salary Range: $80,000-$110,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners.
Job Requisition ID: 95090
Data Scientist Job Roles in Florida
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Search Data Scientist Jobs in FloridaData Scientist Jobs in Florida: Frequently Asked Questions
Which companies in Florida sponsor visas for data scientists?
Several large Florida employers have established track records of sponsoring H-1B visas for data scientists. These include AdventHealth, Orlando Health, and Baptist Health in healthcare analytics; Lockheed Martin and L3Harris in defense and aerospace; and Citigroup and Raymond James in financial services. University systems such as the University of Florida and University of Miami also sponsor data science roles through academic and research appointments.
Which cities in Florida have the most data scientist visa sponsorship jobs?
Miami leads Florida for data scientist sponsorship activity, driven by its growing fintech sector and proximity to Latin American business operations. Orlando follows closely, supported by defense contractors, healthcare systems, and the University of Central Florida research ecosystem. Tampa is a third concentration point, particularly in financial services and health insurance analytics. Jacksonville and Gainesville also have meaningful activity through healthcare networks and university research programs.
Which visa types are most commonly used for data scientist roles in Florida?
The H-1B is the most common visa category for data scientist positions in Florida, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Some international candidates also enter through the OPT or STEM OPT extensions before transitioning to H-1B sponsorship. Candidates from Australia may be eligible for the E-3 visa, and those from Canada or Mexico may qualify under the TN visa category.
How to find data scientist visa sponsorship jobs in Florida?
Migrate Mate is built specifically for international candidates and filters data scientist roles in Florida by visa sponsorship status, so you can focus only on employers actively open to sponsoring. Rather than sorting through thousands of listings where sponsorship is unclear, Migrate Mate surfaces verified sponsorship opportunities. Filtering by Florida and the data scientist role type narrows the results to the cities and industries most relevant to your background and timeline.
Are there any Florida-specific considerations for data scientists seeking visa sponsorship?
Florida has no state income tax, which affects how employers structure compensation benchmarks, but prevailing wage requirements under the H-1B program are still determined by the Department of Labor using metropolitan area data for cities like Miami, Orlando, and Tampa. Florida's heavy concentration of healthcare and defense employers means data scientist roles often require domain knowledge in those sectors, which can strengthen a sponsorship case. Florida's large university research pipeline also means academic institutions are a practical entry point for international data scientists.
What is the prevailing wage for sponsored data scientist jobs in Florida?
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.