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Jupyter Notebook Jobs (NOW HIRING)

DeFiner Inc

Python * Jupyter Notebook * (Optional) R script Experience & Qualifications * Passion in modern technology and ability to work in a start-up environment. * Efficient on Jupyter Notebook * Good ...

Apex Informatics

Data Engineer

Pleasanton, CA · On-site

$127K - $152K/yr

... Python, PySpark, Jupyter Notebook, database design, and ETL processes The ideal candidate will have proven experience on building modern data pipelines - Ingestion, Profiling, Integration ...

Sarian, Inc.

Senior DevOps Engineer

Sunnyvale, CA · On-site

$152K - $196K/yr

... Jupyter notebook, Ranger) Proficient in Python coding. Good experience with AWS and Kubernetes. Good experience using GitHub Manikanth Sarian Solutions, Inc. Ph: 732-790-2266 X 105 manikanth.d ...

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How much do jupyter notebook jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for jupyter notebook in the United States is $40.23, according to ZipRecruiter salary data. Most workers in this role earn between $31.73 and $46.39 per hour, depending on experience, location, and employer.

What is a jupyter notebook?

A Jupyter Notebook job typically involves using Jupyter Notebooks to develop, test, and document code, often in data science, machine learning, or research roles. Professionals in these roles use Jupyter to analyze data, visualize results, and share insights through interactive documents. Common responsibilities may include writing Python code, integrating with libraries like Pandas or TensorFlow, and collaborating on projects. These jobs are common in academia, technology, and data-driven industries.

What are the key skills and qualifications needed to thrive in the jupyter notebook position, and why are they important?

Jupyter Notebook is not a professional job title; rather, it is a widely-used open-source web application for interactive computing, data analysis, and visualization. Expertise in programming languages like Python, familiarity with data science tools, and experience using Jupyter Notebooks are typically required for roles utilizing this technology. Strong analytical thinking, clear communication, and collaboration skills are important for working with diverse teams and presenting data-driven insights. These skills enable professionals to efficiently use Jupyter Notebook as a platform for sharing reproducible research and collaborating on data projects.

How is jupyter notebook used in daily workflows for data science and analytics teams?

Jupyter Notebook is frequently used by data science and analytics professionals to organize explorative code, visualize data, and document processes within a single, shareable environment. On a typical day, team members might use Jupyter Notebooks to prototype machine learning models, perform data cleaning and transformation, and generate interactive reports. These notebooks support collaborative work by allowing team members to review, modify, and comment on each other's analyses in real time. Leveraging Jupyter Notebooks in this way helps streamline teamwork and improve transparency throughout the data analysis lifecycle.

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Jupyter Notebook jobs near you
Infographic showing various Jupyter Notebook job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, and 11% Temporary. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $83,671 per year, or $40.2 per hour.

Entry Level Data Scientist

DeFiner Inc

Full-time

Re-posted 8 days ago

Job description

Job Description
  • Work closely with engineering and marketing teams to identify and answer important product questions to drive business growth.
  • Create machine learning solutions for a diverse set of business problems.
  • Employ structured approaches to leveraging large data sets to uncover new insights.
  • Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions.
  • Present and defend results to leadership audiences, both technical and non-technical.
  • Our team philosophy encourages knowledge sharing so you will contribute to the research community through technical papers and presentations published both internally and externally.
Tech Stack
  • SQL
  • Python
  • Jupyter Notebook
  • (Optional) R script
Experience & Qualifications
  • Passion in modern technology and ability to work in a start-up environment.
  • Efficient on Jupyter Notebook
  • Good mathematic and algorithm background
  • Strong influencing skills essential. Capable of assertively interacting with business stakeholders and counterparts in order to resolve day to day issues.
  • Highly organized individual with attention to detail and excellent ability to execute on deliverables.
Employment Type: FULL_TIME

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