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Python Notebook Jupyter Jobs (NOW HIRING)

Algomine

NY · On-site

$80 - $120/hr

Python, notebook experience (Jupyter, Zeppelin). Libraries: Pandas, Numpy, Scikit-learn, Xgboost (Keras, PyTorch, TensorFlow, Optuna preferred). Git. Welcome - AWS, Snowflake What we offer * Flexible ...

Inficare Technologies

Python Engineer

Python Engineer Location: Remote (Canada or Mexico) Job Type: Contract Experience: 5-10 years Shift ... Jupyter Notebook Location & Work Model Fully remote - candidates must be based in Canada or Mexico.

Intelliswift Software

Test Lead/ Python Developer

Redmond, WA · On-site

$156K - $192K/yr

The drivers will require full documentation, preferably using Jupyter Notebook. Candidates will ... Python Programming Language (P3 - Advanced) | 3 - System Defect Management (P3 - Advanced) | 4 - ...

ClifyX

Python developer

Tampa, FL · On-site

$47.50 - $65.50/hr

ClifyX is seeking a Python Developer with extensive experience in Core Python programming and ... Jupyter Notebook on AEN • Working with REST API exception handling • Multithreading ...

InterImage

Senior Python Developer

Laurel, MD

$120K - $162K/yr

Senior Python Developer Your Main Objective: Develop analytics for Customized and Do-it-Yourself ... of Jupyter Notebooks Familiar with Tradecraft Suite and Notebook Gallery Experience with Gitlab ...

Info Way Solutions

Python Engineer

Fremont, CA · On-site

Info Way Solutions is seeking a Python Engineer who will be responsible for engineering ... Jupyter Notebook, Apache Airflow (and related technologies) is a big plus. Company : Founded and ...

Info Way Solutions

Python with Automation

Fremont, CA · On-site

Info Way Solutions is seeking a Python with Automation professional to engineer, integrate, and ... Jupyter Notebook, Apache Airflow (and related technologies) is a big plus. Company : Founded and ...

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How much do python notebook jupyter jobs pay per hour?

As of Sep 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 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.

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Python Notebook Jupyter jobs near you
Infographic showing various Python Notebook Jupyter job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 3% Part Time, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Data Analyst

Algomine

NY • On-site

$80 - $120/hr

Other

Posted 15 days ago

Job description

Responsibilities
  • Independent work on analytical and consulting projects
  • Close collaboration with the client, process analysis, requirements gathering
  • Conducting exploratory analyses, data profiling, assessing the quality and suitability of sets/variables
  • Validating data sources and models, designing data flows
  • Verifying the accuracy of calculation results
  • Creating reports and visualizations
  • Development and deployment of production solutions
  • Maintaining and developing implemented solutions
  • Presenting concepts and business cases, discussing the results
Requirements
  • Higher education in a specific field: econometrics, quantitative methods, mathematics, computer science, or similar.
  • Min. 1 year of experience as a Data Scientist/Data Analyst, working with large data sets and production data.
  • Ability to work with data, identify common problems, design and implement workflows, and test them.
  • Good knowledge of data processing tools (SQL, Pandas).
  • Good knowledge of Python, including object-oriented programming.
  • Good knowledge of English, including technical concepts.
  • Good communication skills, ability to engage in dialogue with business, and present complex concepts.
  • Knowledge of machine learning techniques and algorithms and their implementation in Python.
  • Ability to work with code versioning tools (git).
Preferred
  • Experience in consulting/advisory/working for Various external clients, possibly internal (e.g., company analytics department) / experience in several industries.
  • Experience in end-to-end projects: from design to implementation.
  • Experience in the financial sector (banking, risk, AML).
Technology Stack

Open-source: Python, notebook experience (Jupyter, Zeppelin). Libraries: Pandas, Numpy, Scikit-learn, Xgboost (Keras, PyTorch, TensorFlow, Optuna preferred). Git. Welcome – AWS, Snowflake

What we offer
  • Flexible employment options and working hours
  • Interesting, challenging work in a dynamically developing Capital Group company
  • Work on innovative projects using modern technologies
  • Direct influence on shaping the image of Capital Group companies on the market
  • Opportunities for broad-based skill development
  • Attractive salary
  • Employment stability and a friendly working atmosphere
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