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Data Science Practitioner Jobs in Florida (NOW HIRING)

Qualifications / Knowledge / Skills: * 2-4 years of hands-on Data Science experience delivering ... PredictiveModeling(ML) Strong practitioner with experience in time series forecasting, price ...

Forward Deployed Engineer, Microsoft AI & Data

Tampa, FL · On-site

$108.20K - $129.90K/yr

This requires a highly motivated practitioner who moves with speed and precision, building working ... Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 3+ years of ...

Forward Deployed Engineer - Microsoft AI&Data

Miami, FL · On-site

$109.50K - $131.50K/yr

This requires a highly motivated practitioner who moves with speed and precision, building working ... Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 3+ years of ...

Forward Deployed Engineer - Microsoft AI&Data

Tampa, FL · On-site

$108.20K - $129.90K/yr

This requires a highly motivated practitioner who moves with speed and precision, building working ... Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 3+ years of ...

Cyber Detect & Respond practitioners work with our clients to: * Lead the design and modernization ... Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or ...

Cyber Detect & Respond practitioners work with our clients to: * Lead the design and modernization ... Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or ...

Nurse Practitioner

Pensacola, FL · On-site

$105K - $120K/yr

... coaches, data scientists and other wellness professionals. * Stay up to date with the latest ... Current Nurse Practitioner (NP) license in Florida and DEA number. * Certification in functional or ...

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Showing results 1-20

Data Science Practitioner information

See Florida salary details

$19.1K

$93.3K

$163.7K

How much do data science practitioner jobs pay per year?

As of May 31, 2026, the average yearly pay for data science practitioner in Florida is $93,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,753.00 and $124,667.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Science Practitioner, you need strong statistical analysis, programming skills (often in Python or R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science, statistics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), big data platforms (like Hadoop or Spark), and relevant certifications (e.g., Google Data Analytics, Microsoft Certified: Data Scientist Associate) is highly beneficial. Critical thinking, problem-solving, and effective communication skills help translate complex data insights into actionable business strategies. These skills and qualities are crucial for extracting value from data and driving data-informed decision-making in organizations.

How do Data Science Practitioners typically collaborate with cross-functional teams to drive project success?

Data Science Practitioners often work closely with professionals from engineering, product management, and business analytics to ensure that data-driven solutions align with organizational goals. They participate in regular meetings to understand project requirements, share insights from data analyses, and help translate complex technical findings into actionable strategies for stakeholders. Effective communication and the ability to explain technical concepts to non-technical teammates are essential, as is adapting to rapidly changing project priorities. Collaboration not only enhances project outcomes but also creates opportunities for learning and career advancement.

What are Data Science Practitioners?

Data Science Practitioners are professionals who use scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. They analyze large datasets to identify trends, build predictive models, and help organizations make data-driven decisions. Their work often involves programming, statistics, and domain expertise across various industries such as finance, healthcare, and technology.

What is the difference between Data Science Practitioner vs Data Analyst?

AspectData Science PractitionerData Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; certifications like Certified Data ScientistBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst
Work EnvironmentDevelops models, algorithms, and predictive analytics; often involves programming and machine learningPerforms data cleaning, visualization, and reporting; focuses on descriptive analytics
Employer & Industry UsageTech companies, finance, healthcare, and consulting firmsBusiness, marketing, finance, and healthcare sectors

While both roles analyze data, Data Science Practitioners focus on building predictive models and advanced analytics, whereas Data Analysts primarily interpret existing data to generate reports and insights. The roles often overlap but differ in technical depth and scope.

Infographic showing various Data Science Practitioner job openings in Florida as of May 2026, with employment types broken down into 1% As Needed, 85% Full Time, and 14% Part Time. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $93,292 per year, or $44.9 per hour.

Other

Posted 13 days ago


Job description

Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.

The Royal Caribbean Groups AI and Analytics  Team has an exciting career opportunity for a full-time  Scientist, Data reporting to the Senior Manager, Data Analytics & AI

The position is onsite and based in Miami, Florida.

The position is also not eligible for work authorization sponsorship. 

Position Summary: 

We are seeking a Data Scientist to lead cross-functional AI/ML initiatives and drive our enterprise-wide AI vision and strategy. This role is a bridge between tactical execution and long-term strategic planning, requiring a visionary who can work independently and collaboratively with data analytics professionals across and outside Royal Caribbean Group to deliver transformative AI/ML solutions. The Data Scientist will frequently interface with senior stakeholders, providing thought leadership and regular updates on key analytics initiatives. This position demands top-tier technical expertise in machine learning & generative AI, combined with exceptional written and oral communication skills. The ideal candidate is a proven leader who pairs expert-level modeling and software engineering skills with outstanding stakeholder management and strategic program leadership. 


Essential Responsibilities: 

  • Own end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionize models in Azure ML and Databricks. 
  • Implement prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning. 
  • Implement and maintain feature stores, model monitoring workflows, and drift checks using MLflow (metrics, alerts, lineage). 
  • Design and execute A/B tests or quasi-experiments to measure revenue, pricing uplift, and PCP attach rate impact. 
  • Apply SHAP/LIME and other model interpretability tools to explain drivers of model behavior to Revenue Management partners. 
  • Contribute to CI/CD workflows (Azure DevOps), support data contracts with Data Engineering, and develop scalable API and batch-serving patterns. 
  • Communicate insights, assumptions, risks, and trade-offs in clear, concise, and executive-ready narratives. 


Qualifications / Knowledge / Skills:

  • 2-4 years of hands-on Data Science experience delivering production-grade ML solutions. 
  • Proficiency in Python (scikitlearn, XGBoost), Spark/Delta, SQL, Azure ML, Databricks, and MLflow; familiarity with PyTorch or TensorFlow is a plus. 
  • Strong understanding of experimental design, statistical testing, and causal inference basics. 
  • Ability to translate technical concepts into actionable business insights; skilled in stakeholder alignment and cross-functional communication. 


Expectations by Dimension 

  • PredictiveModeling(ML) 
    Strong practitioner with experience in time series forecasting, price elasticity modeling, and panel data techniques. 
  • PrescriptiveModeling(Optimization/OR) 
    Foundational familiarity with linear and mixed-integer programming; experience or exposure to ORTools, Gurobi, or related optimizers. 
  • ModelExplainability 
    Working-level proficiency with SHAP, LIME, and other model transparency frameworks. 
  • SoftwareEngineeringSkills 
    Writes modular, maintainable code; participates in code reviews; implements unit and integration tests. 
  • A/Testing&Experimentation 
    Designs experiments with senior review; able to calculate significance, power, and interpret test outcomes. 
  • ChangeManagement&Communication 
    Provides regular updates to business partners; comfortable addressing stakeholder questions and concerns



Power Skills:

 

  • Action Oriented
  • Collaborates Effectively
  • Communicates Effectively
  • Drives Results
  • Situational Adaptability

We know there's a lot to consider. As you go through the application process, our recruiters will be glad to provide guidance, and more relevant details to answer any additional questions. Thank you again for your interest in Royal Caribbean Group. We'll hope to see you onboard soon!

It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race, color, religion, sex, age, national origin, disability, sexual orientation, sexuality, gender identity or expression, marital status, or any other characteristic protected by law. Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment.