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Python Notebook Jupyter Jobs (NOW HIRING)

Siri InfoSolutions Inc

Data Scientist

Jersey City, NJ · On-site

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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How much do python notebook jupyter jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for python notebook jupyter in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Jupyter Notebook Developer, and why are they important?

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 are 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 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.

Senior Data Scientist TS/SCI CI poly

TENICA Global Solutions

Springfield, VA • On-site

Full-time

Posted 8 days ago

Job description

TENICA is looking to hire a Senior Data Scientist in Springfield, VA. MUST HAVE TS/SCI with CI poly.
Develop and conduct algorithm quality trade studies related to synthetic aperture radar imagery, identifying best use cases for selected algorithms, and characterizing performance of algorithms when used outside the best use case scenarios. Prototype an analytical procedure that will generate confidence values based on algorithm outputs. Refine the verification and validation process for analytics. Enhance existing models to leverage analytic output for driving automated tasking. Develop scripts for running and testing the algorithms and analytics, using programs such as Databricks, Python, and Jupyter Notebook. Make presentations and reports at the request of the government in addition to a task kick off, midpoint review, and final report and presentation.
Experience in at least two of the following areas is required: Mathematics/Statistics; Computer Science; Domain Expertise/ Analysis; and Presentation.9 years of experience and a MA/MS degree. In place of the degree, may substitute 19 years of relevant work experience. Desirable skills and experience include synthetic aperture radar image science or analysis; other remote sensing imaging such as multispectral; programming and script development; data science; Python, Databricks, Jupyter Notebook; Intelligence Community analytical workflows.

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