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Data Science R Jobs in Florida (NOW HIRING)

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

  • Medical

  • Life

  • Retirement

... science, analytics, or a related role * Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a ...

Data Scientist IV

Gainesville, FL · On-site

$98K - $110K/yr

Apply data science methodologies using SAS, Python, R, and SQL to analyze large-scale healthcare administrative and clinical datasets. Develop, optimize, and validate analytic code and database ...

Data Scientist IV

Gainesville, FL · On-site

$98K - $110K/yr

Apply data science methodologies using SAS, Python, R, and SQL to analyze large-scale healthcare administrative and clinical datasets. Develop, optimize, and validate analytic code and database ...

Data Scientist

Miami, FL · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Posted today

Data Scientist

Miami, FL · On-site +1

  • Medical

  • Dental

  • PTO

Master's degree in data science, computer science, marine biology, or related field, OR Bachelor ... Proficiency in programming languages such as Python or R * Experience working with large datasets ...

Contribute to the data science community through publications, presentations, and participation in ... Proficiency in data analysis tools and languages (e.g., Python with pandas, scikit-learn, R, SQL ...

Contribute to the data science community through publications, presentations, and participation in ... Proficiency in data analysis tools and languages (e.g., Python with pandas, scikit-learn, R, SQL ...

Contribute to the data science community through publications, presentations, and participation in ... Proficiency in data analysis tools and languages (e.g., Python with pandas, scikit-learn, R, SQL ...

Data Scientist

Cape Canaveral, FL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ... Python, R, or similar programming languages * Machine learning frameworks (scikit-learn, TensorFlow ...

Showing results 41-60

Data Science R information

See Florida salary details

$28K

$91.7K

$146.8K

How much do data science r jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science r 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 a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

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

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

What are the most commonly searched types of Data Science R jobs in Florida?

The most popular types of Data Science R jobs in Florida are:

Infographic showing various Data Science R job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.

Data Scientist

The Subway

Miami, FL • On-site

$102K - $128K/yr

Full-time

Medical, Life, Retirement

Re-posted 7 days ago


Subway rating

4.4

Company rating: 4.4 out of 10

Based on 2,054 frontline employees who took The Breakroom Quiz

98th of 106 rated fast food restaurants


Job description

We are Subway Headquarters! A dedicated team of professionals supporting thousands of franchisees around the globe.
Location: Miami, FL
Ready for a fresh, new career? Look no further because one of the world's most iconic brands can help you get there.
Why Join Us?
At Subway, "better" is baked into our DNA. We are a brand that believes in continued improvement ... in our lives, our businesses, and our planet. From the handshake that started our very first sandwich shop to earning our position as one of the world's leading restaurant brands, we've always embraced change and the path ahead. And today, we're making better living way easier.
Our purpose is more than the food we serve in our restaurants. It's centered on fueling healthy businesses and healthier lives. It is one of the most exciting times to join the Subway team and contribute to our transformational journey.
Key Responsibilities
  • Write production-level code for robust analytics products, ensuring scalability and maintainability.
  • Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation and testing, and deployment.
  • Leverage a diverse set of large and unstructured data (POS data, loyalty program data, customer feedback, etc.) to derive meaningful insights and information sets that inform business decisions.
  • Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent experience)
  • 3+ years of experience in data science, analytics, or a related role
  • Strong programming experience with Python, R, or similar languages for data analysis and model development
  • Experience writing production-level code with a focus on scalability, performance, and maintainability
  • Solid understanding of software development best practices (version control, testing, code reviews)

Technical Skills
  • Hands-on experience with machine learning techniques such as regression, classification, clustering, and ensemble methods
  • Proficiency in advanced analytics methods including:
    • Predictive modeling
    • Time series analysis
    • Optimization and simulation techniques
  • Experience working with large, complex, and unstructured datasets (e.g., transactional, customer, or behavioral data)
  • Strong data wrangling and exploratory data analysis (EDA) skills
  • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)
  • SQL along with Python, R required

Data & Engineering Collaboration
  • Experience working in cross-functional teams with data engineers, software engineers, and product teams
  • Familiarity with data pipelines, ETL processes, and cloud-based data platforms (e.g., AWS, Azure, or GCP)
  • Understanding of the full data science lifecycle, including:
    • Data preparation
    • Model development and validation
    • Deployment and monitoring

Analytical & Business Skills
  • Strong problem-solving and critical thinking skills with the ability to translate business questions into analytical solutions
  • Experience applying data-driven insights to influence business decisions
  • Ability to perform hypothesis testing and interpret statistical results

Soft Skills
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders
  • Strong collaboration and teamwork abilities
  • Ability to manage multiple projects and work in a fast-paced environment

What do we offer?
  • Insurance Plans (Medical, Life)
  • Pension/401K/RSP (country specific)
  • Competitive Bonus
  • Mobility Allowance
  • Tuition Reimbursement
  • Company Holidays
  • Volunteering time
  • And More.....

Compensation: The base pay range for this role is $102,700-$128,400 annually
Pay within this range will be determined in good faith based on job-related factors, which may include skills, experience, education/training, location, and internal equity.
The Company is only considering applicants who are currently authorized to work in the country the position is based. AA/EOE/D/V
The Company is only considering applicants who are currently authorized to work in the country the position is based. AA/EOE/D/V

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