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Senior Computer Data Scientist Jobs in Florida (NOW HIRING)

Royal Caribbean Group

Senior Data Scientist

Miami, FL · On-site

Position Summary: We are seeking a Sr. Data Scientist to lead complex data science work from ... Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Operations Research ...

USAA

Data Scientist Senior

Tampa, FL · On-site +1

The Opportunity As a Senior Data Scientist, you will leverage advanced analytics, machine learning ... Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial ...

USAA

Data Scientist Senior

Tampa, FL · On-site +1

The Opportunity As a Senior Data Scientist, you will leverage advanced analytics, machine learning ... Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial ...

Haystack News

Senior Data Scientist

Fort Lauderdale, FL · On-site

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining ... S. in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations ...

Holland America Group

Senior Data Scientist

Miami, FL · On-site

We are looking to hire a Sr. Data Scientist. Princess Cruises operates an advanced and extremely ... Ability to code at an advanced level in at least one computer programming language such as Python ...

Holland America Group

Senior Data Scientist

Miami, FL · On-site

We are looking to hire a Sr. Data Scientist. Princess Cruises operates an advanced and extremely ... Ability to code at an advanced level in at least one computer programming language such as Python ...

Florida Crystals

Sr. Data Scientist

Belle Glade, FL · On-site

The Sr. Data Scientist will be responsible for helping operations make data-driven decisions by ... Required : • Bachelors or Master's degree in data science, computer science and applications ...

Maximus

Chief Data Scientist

Tampa, FL · On-site

... senior leaders. Preferred Qualifications and Skills: - PhD in Data Science, Computer Science, AI, Mathematics, Operations Research, or a related field. - Prior experience supporting DOW, or ...

Redhorse Corporation

Data Scientist

Tampa, FL · On-site

They are seeking a Senior Data Scientist to support the United States Central Command (USCENTCOM ... Preferred : • Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics ...

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

Senior Data Scientist (Operations Strategy & Advanced Analytics) Role Overview We are seeking a ... Master's Degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Computer ...

Prescient Edge

Senior Data Scientist

Doral, FL · On-site

Job Title Senior Data Scientist Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ...

ASR Group

Sr. Data Scientist

Belle Glade, FL · Remote

OVERVIEW Reporting to the VP of R&D, the Senior Data Scientist will serve as a high-level technical ... Design, develop, test, and refine advanced machine learning, statistical, optimization, computer ...

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Senior Computer Data Scientist information

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Machine Learning Director, with salaries exceeding $150,000 annually. These roles typically require advanced skills in machine learning, big data tools, and leadership experience. Compensation varies based on industry, location, and company size.

Is 40 too late for data science?

Age is not a barrier to becoming a senior computer data scientist, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Success depends on your ability to adapt and build a strong portfolio of projects and certifications regardless of age.

What is the difference between Senior Computer Data Scientist vs Data Analyst?

AspectSenior Computer Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Computer Science, Data Science, or related fields; experience with programming, machine learningBachelor's degree in Statistics, Mathematics, or related fields; proficiency in data visualization and basic analytics
Work EnvironmentDevelops models, algorithms, and advanced analytics; often in R&D or data science teamsPrepares reports, visualizations, and interprets data for business decisions
Employer & Industry UsageTech companies, finance, healthcare, and large enterprises with complex data needsRetail, marketing, finance, and smaller organizations focusing on data reporting

While both roles analyze data, Senior Computer Data Scientists focus on building advanced models and algorithms, requiring deeper technical expertise. Data Analysts primarily interpret and visualize data for business insights. The roles often overlap in data handling but differ in complexity and technical depth.

How much does a senior data scientist earn?

A senior data scientist typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, programming, and data analysis tools can influence salary levels.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or models to improve efficiency and outcomes.
What are the most commonly searched types of Computer Data Scientist jobs in Florida? The most popular types of Computer Data Scientist jobs in Florida are:
What cities in Florida are hiring for Senior Computer Data Scientist jobs? Cities in Florida with the most Senior Computer Data Scientist job openings:
Senior Computer Data Scientist jobs near you
Senior Data Scientist

Senior Data Scientist

Royal Caribbean Group

Miami, FL • On-site

Full-time

Posted 5 days ago

Royal Caribbean Group rating

8.7

Company rating: 8.7 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

2nd of 9 rated cruise lines

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 Group's AI & Analytics Team has an exciting career opportunity for a full-time Senior Data Scientist reporting to the Senior Manager , Data Science
The position is onsite and based in Miami, Florida.
Position Summary:
We are seeking a Sr. Data Scientist to lead complex data science work from business framing through production operations, making model decisions understandable, measurable, and adopted across Royal Caribbean Group. This role emphasizes Data Science ownership of delivered business value: framing the right problem, building and validating ML/optimization/GenAI solutions, partnering on deployment, monitoring performance, and driving adoption in production. The ideal candidate combines statistical and machine learning depth with practical business judgment, strong stakeholder partnership, and the ability to convert analytical work into measurable outcomes rather than isolated prototypes.
  • EssentialDutiesandResponsibilities:Problem Framing & Value: Frame high-impact business problems for senior independent model ownership and cross-functional influence into measurable data science opportunities with clear decision owners, baseline metrics, adoption paths, and expected value tied to multi-process improvements in revenue, cost, service, capacity, personalization, or operational decision quality.
  • Predictive Modeling: Develop forecasting, propensity, classification, and ranking models using Python, scikit-learn, XGBoost, LightGBM, CatBoost, and Databricks feature workflows to support production decisions.
  • Prescriptive Decisioning: Build recommendation, simulation, and optimization solutions using MILP, heuristics, dynamic programming, or scenario modeling to improve operational and commercial decisions.
  • GenAI Solutions: Design GenAI workflows using GPT-class models, Azure AI Foundry, RAG, embeddings, prompt engineering, and evaluation routines where natural-language or agentic capabilities improve business productivity.
  • Statistical Experimentation: Design and evaluate A/B tests, quasi-experiments, causal analyses, bootstrap methods, and non-parametric tests to determine whether model or process changes create measurable lift.
  • Explainability & Trust: Apply SHAP, sensitivity analysis, model diagnostics, error analysis, and stakeholder-ready explanations so users understand model behavior, limits, and decision implications.
  • Production Deployment: Partner with AI Engineering to deploy models and analytical applications through Databricks, Azure ML, MLflow, APIs, or containerized services while retaining accountability for business value and model behavior.
  • Production Operations: Monitor accuracy, drift, bias, adoption, latency, cost, and business KPIs; trigger retraining, recalibration, or process changes when performance or value realization degrades.
  • Stakeholder Partnership: Partner with business, product, operations, AI Engineering, and data engineering teams to convert model outputs into decisions, workflows, incentives, and measurable adoption.
  • Qualifications, Knowledge and Skills:Education: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Operations Research, Engineering, Economics, or a related quantitative field, or equivalent practical experience.
  • Experience: Demonstrated experience appropriate to senior scope delivering ML, optimization, experimentation, or GenAI solutions that moved beyond analysis into production use or business decisioning.
  • ML Tooling: Hands-on experience with Python, scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch or TensorFlow where appropriate, and model evaluation workflows for production-grade use cases.
  • Optimization: Experience with MILP solvers, simulation, scenario planning, dynamic programming, heuristics, or prescriptive analytics methods applied to real business decisions.
  • GenAI Platforms: Experience with Azure AI Foundry, GPT-class models, RAG, embeddings, prompt engineering, evaluation, and safe use of GenAI for decision support or workflow automation.
  • Data Platforms: Advanced use of Databricks, Spark, SQL, feature pipelines, data quality checks, and reproducible analytical workflows for large-scale data science delivery.
  • MLOps: Experience with MLflow, Azure ML, model registries, CI/CD, monitoring, retraining, and production handoff practices that keep models reliable after launch.
  • Engineering: Strong Python engineering practices, Git workflows, testing, packaging, notebooks-to-production discipline, APIs, and collaboration with AI Engineering for deployment readiness.
  • Communication: Clear communication skills with domain leaders, product owners, AI engineers, data engineers, and senior business stakeholders, including the ability to explain model logic, uncertainty, tradeoffs, risks, and recommended decisions in business terms.

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.

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