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Python Notebook Jupyter Jobs in New York (NOW HIRING)

Strong proficiency in Python; capable of working in both Jupyter notebooks and production-ready scripting environments. * Experience with modern data pipeline tools and operating platforms (Dataiku ...

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Python Notebook Jupyter information

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 cities in New York are hiring for Python Notebook Jupyter jobs?

Cities in New York with the most Python Notebook Jupyter job openings:

Infographic showing various Python Notebook Jupyter job openings in New York as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 2% Part Time, and 4% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution.

Data Scientist at Jersey City, NJ (Onsite) Full-Time (FTE Only)

Siri InfoSolutions Inc

Jersey City, NJ โ€ข On-site

Other

Re-posted 23 days ago


Job description

Position: Data Scientist
Type: Full-Time (FTE Only)
Location: Jersey City, NJ (Onsite)

Must Have: Gen AI, LLM, Python, Jupyter, statistical analysis, statistical analysis, testing design, execution, and documentation.
Key Skills & Requirements:

  • Strong proficiency in Python; capable of working in both Jupyter notebooks and production-ready scripting environments.
  • Experience with modern data pipeline tools and operating platforms (Dataiku preferred).
  • Solid understanding of machine learning algorithms and techniques, with a proven ability to apply them to real-world business problems.
  • Competence in statistical analysis, testing design, execution, and documentation.
  • Hands-on experience with Generative AI and the development or use of LLM-powered agents in practical applications.

Thank You, have a great day ahead!


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About Siri Infosolutions

Sourced by ZipRecruiter

Our team of experts first gather each and every requirement of yours. Our research and development team then sit around those requirements and come up with a plan. Our implementation team then executes that plan for optimal results. After that our support team remains in constant touch with you during and after the entire process.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Edison, NJ, US

Year founded

2005