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Data Science H1B Jobs in Florida (NOW HIRING)

Bachelor's degree in Data Science, Business Analytics, Computer Science, or a related field ... such as H1B, STEM, or F1, now and in the future. New College of Florida (NCF) is an equal ...

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Data Science H1B information

See Florida salary details

$19.1K

$92.6K

$163.7K

How much do data science h1b jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data science h1b in Florida is $92,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,363.00 and $125,065.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Science H1B position, and why are they important?

To thrive as a Data Science H1B, you need a solid foundation in statistics, programming languages such as Python or R, and experience with machine learning algorithms, generally supported by a relevant degree in computer science, statistics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), cloud platforms (such as AWS or Azure), and certifications in data science or analytics are highly valued. Strong communication, problem-solving abilities, and the ability to work effectively in cross-functional teams are key soft skills. These attributes enable data scientists to extract actionable insights from data, communicate findings clearly, and contribute to impactful business decisions.

What are some typical challenges faced by Data Science professionals working on an H1B visa?

Data Science professionals on an H1B visa may encounter challenges such as adapting to new workplace cultures, managing high expectations for immediate impact, and staying current with rapidly evolving technologies. Collaboration across global teams and clear communication are essential, as projects often require input from various departments and stakeholders. Additionally, navigating the complexities of visa regulations while balancing career development can be demanding. However, many organizations provide robust support structures, mentorship, and training to help H1B employees thrive in their roles and advance their careers.

What is a Data Science H1B job?

A Data Science H1B job refers to a data science position in the U.S. that is sponsored by an employer under the H1B visa program. This visa allows skilled foreign workers to temporarily work in specialized fields such as data science. Data scientists on H1B visas typically analyze large datasets, build machine learning models, and develop data-driven solutions for businesses. Employers must demonstrate that the role requires specialized knowledge and that the candidate meets the necessary qualifications.

What are the most commonly searched types of Data Science H1B jobs in Florida? The most popular types of Data Science H1B jobs in Florida are:
What job categories do people searching Data Science H1B jobs in Florida look for? The top searched job categories for Data Science H1B jobs in Florida are:
What cities in Florida are hiring for Data Science H1B jobs? Cities in Florida with the most Data Science H1B job openings:
Infographic showing various Data Science H1B job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $92,648 per year, or $44.5 per hour.

Full-time

Posted 21 days ago


Job description

Salary: Negotiable
Location : Sarasota, Florida, United States
Job Type: Full-Time
Job Number: 00870
Division: Finance and Administration
Opening Date: 07/10/2026
Closing Date: Continuous
Description
This position will be responsible for data analysis, statistical modeling, visualizations, and data engineering to support data insights for the campus.
Examples of Duties
  • Extract and analyze data from the Banner ERP system and related data sources to fulfill internal data requests
  • Develop modeling frameworks for prediction, classification, and similar goals, utilizing machine learning models and artificial intelligence tools when appropriate
  • Design and develop dashboards, reports, and visualization using Power BI or other approved data visualization tools
  • Identify opportunities for enhancing data assets and propose innovative solutions
  • Translate business needs into technical solutions and provide data-driven recommendations
  • Collaborate with cross-functional teams to gather requirements and understand business challenges
  • Develop and maintain data models, data definitions, and documentation
  • Ensure data accuracy, integrity, and consistency across reports and systems
  • Automate and optimize recurring reports and analytical processes
  • Monitor key performance indicators (KPIs) and provide regular updates to stakeholders
  • Support data governance and compliance initiatives
  • Other duties as assigned

Minimum Qualifications
  • Bachelor's degree in Data Science, Business Analytics, Computer Science, or a related field
  • Proficiency and experience with statistics and predictive analytics
  • Proficiency and experience with machine learning & deep learning models
  • Proficiency and experience with Python, R, SQL
  • Strong analytical and problem-solving skills
  • Excellent communication skills with the ability to present complex data in a clear and concise manner

Preferred Qualifications
  • Proficiency and experience with business intelligence tools

All candidates must be legally authorized to work in the United States without requiring immigration sponsorship, including but not limited to non-immigrant visas, such as H1B, STEM, or F1, now and in the future.
New College of Florida (NCF) is an equal opportunity employer and educational provider committed to a policy of non-discrimination for any member of the NCF community on the basis of race, creed, color, sex, religion, national origin, age, disability, genetic information, veterans' status, marital status, or any other legally protected group status. This policy applies to faculty, staff, students, volunteers, visitors, applicants, and contractors in a manner consistent with applicable laws, regulations, ordinances, orders, and University policies, procedures, and processes.
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