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Data Science Machine Learning Jobs in Florida (NOW HIRING)

Access Labs LLC

Data Scientist

North Palm Beach, FL · On-site

Reporting to the Digital Transformation Manager, this role will leverage artificial intelligence (AI), machine learning (ML), predictive analytics, and data science techniques to develop solutions ...

FIS

Data Scientist

Jacksonville, FL · On-site

Establish and promote best practices in data science, machine learning, feature engineering, experimentation, model governance, and MLOps throughout the organization. * Stay current on industry ...

Worldpay, Inc.

Data Scientist

Jacksonville, FL · On-site

Establish and promote best practices in data science, machine learning, feature engineering, experimentation, model governance, and MLOps throughout the organization. * Stay current on industry ...

FIS

Data Scientist Lead

Jacksonville, FL · On-site

Establish and promote best practices in data science, machine learning, feature engineering, experimentation, model governance, and MLOps throughout the organization. * Communicate complex analytical ...

Worldpay, Inc.

Data Scientist Lead

Jacksonville, FL · On-site

Establish and promote best practices in data science, machine learning, feature engineering, experimentation, model governance, and MLOps throughout the organization. * Communicate complex analytical ...

SynergisticIT

Junior Data Scientist/Analyst

Tampa, FL · On-site

We want data science/machine learning/data analyst and Java full stack candidates. Required skills for data science/machine learning positions: Bachelors degree or masters degree in computer science ...

SynergisticIT

Junior Data Scientist/Analyst

Tampa, FL · On-site

We want data science/machine learning/data analyst and Java full stack candidates. Required skills for data science/machine learning positions: Bachelors degree or masters degree in computer science ...

YO AI Labs

AI Data Science Expert - Remote

Miami, FL · Remote

$100 - $200/hr

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

Worldpay, Inc.

Data Scientist Sr Lead

Jacksonville, FL · On-site +1

Establish and promote best practices in data science, machine learning, experimentation, model governance, and MLOps throughout the organization. * Lead proof-of-concept (POC) initiatives to evaluate ...

FIS

Data Scientist Sr Lead

Jacksonville, FL · On-site +1

Establish and promote best practices in data science, machine learning, experimentation, model governance, and MLOps throughout the organization. * Lead proof-of-concept (POC) initiatives to evaluate ...

Signature Aviation

Data Scientist

Orlando, FL · On-site

Minimum Education and/or Experience: * 1-3 years of experience in a data science, machine learning, or advanced analytics role * Undergraduate degree in Data Science, Statistics, Mathematics ...

KPMG US

Data Scientist- Associate

Orlando, FL · On-site

$55K - $55K/yr

Required : • Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering • Minimum of a Bachelor's degree is required • ...

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All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Florida

Data Science Machine Learning information

See Florida salary details

$28K

$91.7K

$146.8K

How much do data science machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data science machine learning in Florida is $91,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $101,600.00 per year, depending on experience, location, and employer.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.

What are the key skills and qualifications needed to thrive as a data science machine learning professional?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a data science machine learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

Is data science machine learning a high paying job?

Data science and machine learning roles are generally high-paying within the tech industry due to the specialized skills required, such as programming, statistical analysis, and experience with tools like Python or TensorFlow. Salaries vary based on experience, location, and company size but tend to be above average compared to many other professions.
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.

Data Scientist

Access Labs LLC

North Palm Beach, FL • On-site

Full-time

Posted 17 days ago

Job description

Job Summary:

Access Medical Laboratories is seeking an innovative and business-focused Data Scientist to join our Digital Transformation team. Reporting to the Digital Transformation Manager, this role will leverage artificial intelligence (AI), machine learning (ML), predictive analytics, and data science techniques to develop solutions that improve operational efficiency, customer experience, and business performance across Operations, Finance, Commercial/Marketing, and Laboratory functions.

The ideal candidate is passionate about transforming complex business problems into scalable AI-driven solutions and enjoys partnering with cross-functional stakeholders to identify opportunities, build predictive models, deploy solutions, and measure business impact.

Job Responsibilities:

  • Develop and implement AI and machine learning solutions that improve operational efficiency and business outcomes across multiple departments.
  • Collaborate with business leaders to identify opportunities where AI and advanced analytics can solve operational challenges.
  • Translate business needs into predictive models, machine learning algorithms, and actionable insights.
  • Design, develop, validate, and deploy production-ready AI/ML models.
  • Monitor model performance and continuously optimize solutions based on business outcomes.
  • Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement.
  • Build dashboards and reporting tools that communicate insights to technical and non-technical stakeholders.
  • Partner with IT, software development, laboratory operations, finance, and commercial teams to integrate AI solutions into existing workflows.
  • Ensure data quality, governance, and compliance with healthcare data standards and organizational policies.
  • Stay current on emerging AI technologies and recommend innovative applications that drive competitive advantage.

Initial Strategic Projects

  • Develop predictive churn models to identify clients at risk and recommend retention strategies.
  • Build real-time courier delivery analytics to monitor specimen collections, deliveries, and sample stability throughout transportation.
  • Develop a "Next Best Action" recommendation engine for the Account Management team to improve customer engagement and retention.
  • Create predictive inventory and labor planning models to optimize staffing levels, inventory management, and operational efficiency.

Qualifications & Skills:

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • Master's degree preferred.
  • 1-3 years of professional experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.
  • Experience developing and deploying machine learning models in a production environment.
  • Strong proficiency in Python and SQL.
  • Experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
  • Experience working with cloud platforms such as Azure, AWS, or Google Cloud.
  • Experience creating dashboards using Power BI, Tableau, or similar visualization tools.
  • Strong understanding of statistical modeling, predictive analytics, and optimization techniques.
  • Experience working within healthcare, diagnostics, biotechnology, laboratory services, or life sciences.
  • Experience with MLOps, model deployment, and automation.
  • Familiarity with Generative AI, Large Language Models (LLMs), and AI copilots.
  • Experience integrating AI solutions into enterprise applications.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills with the ability to explain technical concepts to business stakeholders.
  • Ability to manage multiple projects in a fast-paced environment.
  • Collaborative mindset with strong relationship-building skills.
  • Results-oriented with a passion for innovation and continuous improvement.
  • Ability to work independently while driving cross-functional initiatives.
  • Strong project management and organizational skills.

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