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Python Notebook Jupyter Jobs in Palm Beach, FL (NOW HIRING)

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Python Notebook Jupyter information

See Palm Beach, FL salary details

$12

$56

$83

How much do python notebook jupyter jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for python notebook jupyter in Palm Beach, FL is $56.70, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $64.42 per hour, depending on experience, location, and employer.

What is a Python Notebook Jupyter?

Python Notebook Jupyter, commonly referred to as Jupyter Notebooks, are interactive web-based tools that allow users to write and execute Python code in a segmented, cell-based format. They are widely used for data analysis, machine learning, and visualization, providing an intuitive way to mix code, visualizations, and narrative text. Jupyter Notebooks are popular among researchers, data scientists, and educators for their flexibility and ease of sharing results. Additionally, they support multiple programming languages with the appropriate kernels, though Python is the most commonly used.

What are the key skills and qualifications needed to thrive as a Jupyter Notebook developer?

To thrive as a Jupyter Notebook Developer, you need strong proficiency in Python programming, data analysis, and a solid understanding of computational notebooks. Familiarity with Jupyter Notebook, data visualization libraries (such as Matplotlib, Seaborn), and tools like pandas and NumPy is typically required. Excellent communication, problem-solving skills, and attention to detail help convey complex ideas and collaborate effectively with team members. These skills enable efficient, reproducible, and collaborative data analysis workflows essential for research and data-driven decision-making.

How does a Python Notebook Jupyter developer typically collaborate with data scientists and other team members on projects?

As a Python Notebook Jupyter developer, collaboration with data scientists, analysts, and other stakeholders is a key aspect of the role. Developers often work in cross-functional teams, using Jupyter Notebooks to create, document, and share code, analyses, and visualizations in an interactive format. Effective communication is essential, as you may need to explain your code, help troubleshoot issues, or integrate feedback from peers. Version control tools like Git are commonly used to manage contributions and ensure smooth collaboration across the team.

What is the difference between Python Notebook Jupyter vs Data Analyst?

AspectPython Notebook JupyterData Analyst
CredentialsBasic programming knowledge, Python skillsDegree in statistics, data science, or related field
Work EnvironmentData science teams, research labs, tech companiesBusiness environments, consulting firms, finance, marketing
UsageData exploration, visualization, prototypingData cleaning, analysis, reporting

Python Notebook Jupyter is a tool primarily used for coding, data exploration, and visualization, often by data scientists and researchers. Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles work with data, Jupyter notebooks are a technical tool used by data analysts as well, but the roles differ in scope and focus.

What job categories do people searching Python Notebook Jupyter jobs in Palm Beach, FL look for?

The top searched job categories for Python Notebook Jupyter jobs in Palm Beach, FL are:

What cities near Palm Beach, FL are hiring for Python Notebook Jupyter jobs?

Cities near Palm Beach, FL with the most Python Notebook Jupyter job openings:

Python Notebook Jupyter jobs near you
Infographic showing various Python Notebook Jupyter job openings in Palm Beach, FL as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $117,939 per year, or $56.7 per hour.

Senior Data Scientist w/ Supply Chain Management and Optimization

Deerfield Beach, FL • On-site

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

Contractor

Re-posted 28 days ago

Job description

  • Machine learning modeling especially in the Sales and Marketing areas of Supply Chain, Demand Forecasting, inventory/logistics optimization
  • Hands-on coding expertise in python, SQL, Jupyter Notebooks
  • Have productionalize ML solutions and not just built prototypes (MLOps).
  • experience working with business stakeholders, understanding requirements, prioritize use cases, communicate ROI and impact
  • experience working in early-stage / immature data environments and help shape data inputs for modeling
  • Azure platform experience (Fabric, Synapse)
  • Seeking a highly skilled Senior Data Scientist with a strong background in supply chain management and expertise in both developing and deploying machine learning models into production for end user consumption
  • 5+ years of experience as a data scientist, with a strong focus on supply chain management and problem-solving.
  • Design, implement, and optimize machine learning models utilizing the Microsoft technology stack (Azure AI Foundry, Azure ML, Azure SQL Managed Instance, Azure Synapse Analytics) to solve supply chain challenges, including demand forecasting, optimization, and logistics planning.
  • Work with architects to deploy machine learning models into production environments, ensuring scalability, performance, and integration with existing systems.