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Matplotlib Jobs in Orlando, FL (NOW HIRING)

Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various ...

Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various ...

Python Tutor

Orlando, FL · Remote

$18 - $40/hr

... Matplotlib. Ability to explain Pythonic programming conventions, decorators, and generators while preparing students for data science, web development, automation, and computer science coursework.

Matplotlib information

See Orlando, FL salary details

$9

$49

$67

How much do matplotlib jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for matplotlib in Orlando, FL is $49.83, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $56.54 per hour, depending on experience, location, and employer.

What is the difference between Matplotlib vs Seaborn?

AspectMatplotlibSeaborn
Primary UseData visualization library for creating static, animated, and interactive plotsBuilt on top of Matplotlib for statistical data visualization
Ease of UseRequires more detailed coding; flexible but complexSimplifies complex visualizations with high-level functions
CustomizationHighly customizable with extensive optionsLess customizable but offers attractive default styles
Learning CurveSteeper for beginnersGentler for users familiar with Matplotlib

Matplotlib is a versatile library for creating detailed plots, while Seaborn builds on it to provide easier, aesthetically pleasing statistical visualizations. Users often start with Matplotlib for flexibility and switch to Seaborn for quick, attractive charts.

What cities near Orlando, FL are hiring for Matplotlib jobs?

Cities near Orlando, FL with the most Matplotlib job openings:

Infographic showing various Matplotlib job openings in Orlando, FL as of August 2026, with employment types broken down into 48% Full Time, and 52% Part Time. Highlights an 100% In-person job distribution, with an average salary of $103,645 per year, or $49.8 per hour.

Data Scientist

Orlando, FL • On-site, Remote

Full-time

Re-posted 16 hours ago


Job description

Company Description
We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place.
Job Description
Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Qualifications
Qualifications
• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 2 years' of experience in quantitative analytics or data modeling
• Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have.
• Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks)
Additional Information
Responsibilities
• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements
tion will be kept confidential according to EEO guidelines.