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Data Science Machine Learning Jobs in Florida (NOW HIRING)

Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 ...

Data Science Tutor

Cooper City, FL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Gainesville, FL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Hialeah, FL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Tampa, FL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Tallahassee, FL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 ...

Data Science Tutor

Sunrise, FL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Personnel must be proficient in advanced machine learning techniques, statistical modeling, and data science methodologies, with expertise in feature engineering, model validation, and data ...

Identifies and executes on best approach for assigned project which may include skills including machine learning, NLP, LLMs, deep learning, neural networks or any other data science function.

Exposure to AI or machine learning solutions in a business or academic setting. * Interest in helping transform Lennar into an insights-driven organization. * Ability to frame data science approaches ...

Exposure to AI or machine learning solutions in a business or academic setting. Interest in helping transform Lennar into an insights-driven organization. Ability to frame data science approaches for ...

Exposure to AI or machine learning solutions in a business or academic setting. * Interest in helping transform Lennar into an insights-driven organization. * Ability to frame data science approaches ...

... science, machine learning engineering, or data pipeline development. * Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark Preferred Skills * Experience ...

... science, machine learning engineering, or data pipeline development. * Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark Preferred Skills * Experience ...

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Showing results 1-20

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 Jun 30, 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.

Which has more salary, CS or AI?

Data Science and Machine Learning roles in AI generally have higher salaries than traditional computer science positions due to specialized skills in deep learning, neural networks, and advanced algorithms. AI roles often require expertise in programming languages like Python and frameworks such as TensorFlow, which are highly valued in the job market. Salaries vary by experience, location, and industry, but AI-focused positions tend to offer higher compensation on average.

What are the key skills and qualifications needed to thrive as a Data Science Machine Learning professional, and why are they important?

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 engineers make $500,000?

Senior data science and machine learning engineers with extensive experience, advanced skills in programming, statistical analysis, and deep learning, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at executive or specialized levels.

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.

Do data scientists work with machine learning?

Data scientists often work with machine learning as a core part of their role, developing models to analyze data and make predictions. They use tools like Python, R, and libraries such as scikit-learn or TensorFlow to build and deploy machine learning algorithms. Knowledge of statistics, programming, and data manipulation is essential for this work.

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.

Which 3 jobs will survive AI?

Data science and machine learning roles are expected to persist as they require complex problem-solving, domain expertise, and creativity that AI tools currently cannot fully replicate. Jobs involving strategic decision-making, ethical considerations, and interpersonal skills, such as data analysts, AI ethics specialists, and AI system trainers, are also likely to remain in demand. Continuous learning and proficiency with AI tools will be essential for these roles to adapt and thrive.
Infographic showing various Data Science Machine Learning job openings in Florida as of June 2026, with employment types broken down into 64% Full Time, 34% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.
Lead Data Scientist

Lead Data Scientist

Humana

Tampa, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Humana rating

7.9

Company rating: 7.9 out of 10

Based on 260 frontline employees who took The Breakroom Quiz

155th of 277 rated insurance


Job description

Become a part of our caring community
The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. Join us in shaping the future of healthcare through AI excellence.
We are seeking a Lead Data Scientist to guide the strategic decisions and the development of reliable, interpretable, and steerable AI systems. Our goal is to create safe AI solutions that will revolutionize and improve healthcare experience and outcomes for our customers. Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and business leaders as we work together to build impactful and beneficial AI systems.

Key Responsibilities

  • AI Innovation & Responsible Generative AI
    Design AI solutions using Python, computer vision, and generative models like LLMs and diffusion models. Ensure responsible development aligned with Humana's ethical standards, focusing on transparency, safety, and real-world impact.

  • Agentic AI System Design
    Build autonomous AI agents using frameworks (i.e. LangChain, LangGraph, AutoGen, CrewAI) to support reasoning and decision-making in healthcare.

  • Enterprise Integration & Business Collaboration
    Embed AI into Humana's systems and workflows. Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities clearly-especially around generative AI. Design for scalability, reliability, and compliance.

  • MLOps & DevOps Collaboration
    Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production.

  • Manage the execution of data science strategies and initiatives, including the design, development and implementation.

  • Guide and execute the strategic decision in collaboration with data scientists, software engineers, and stakeholders to deliver high impact AI use case solutions.

  • Lead the development and maintenance of complex machine learning models and algorithms.

  • Lead and oversee the development of advanced machine learning models, ensuring their seamless integration into our production systems.

  • Design and implement robust monitoring capabilities to maintain optimal performance and reliability.

  • Experience in creating reports, projections, models, and presentations to executives.


Use your skills to make an impact

Required Qualifications

  • Bachelor's Degree and 7+ years of experience OR Master's Degree and 5+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions

  • 2+ years of experience leading development of AI/ML systems.

  • Experience with Agentic AI System Design

  • Experience collaborating with MLOps and DevOps teams

  • Proficiency in SQL, Python, and data analysis/data mining tools

  • Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch

  • Experience with high performance, large-scale ML systems

  • Experience with language modeling with transformers

  • Experience with reinforcement learning

  • Experience with large-scale ETL

Preferred Qualifications

  • Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field.

Additional Information

Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Office Location Options:

  • Louisville, KY

  • Boston, MA

  • New York, NY

  • Dallas, TX

  • Tampa, FL

  • Washington, DC (Arlington, VA)

Why Humana?

At Humana, we know your well-being is important to you, and it's important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life.Just to name a few:

  • Work-Life Balance

  • Generous PTO package

  • Health benefits effective day 1

  • Annual Incentive Plan

  • 401K -Excellent company match

  • Well-being program

  • Paid Volunteer Time Off

If you share our passion for helping people, we likely have the right place for you at Humana.

Work at Home Guidance

To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:

  • At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested

  • Satellite, cellular and microwave connection can be used only if approved by leadership

  • Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

  • Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.

  • Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

SSN Alert Statement

Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana@myworkday.com with instructions on how to add the information into your official application on Humana's secure website.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.


$142,300 - $195,700 per year


This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About Us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer atHumana.comand atCenterWell.com.


Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.


What Humana employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Humana logo

About Humana

Sourced by ZipRecruiter

Humana Inc., headquartered in Louisville, KY., is a leading health care company that offers a wide range of insurance products and health and wellness services that incorporate an integrated approach to lifelong well-being. By leveraging the strengths of its core businesses, Humana believes it can better explore opportunities for existing and emerging adjacencies in health care that can further enhance wellness opportunities for the millions of people across the nation with whom the company has relationships.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Louisville, KY, US

Year founded

1961

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