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Jupyter Notebook Jobs (NOW HIRING)

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

AWS, Git, Jupyter Notebook, or cloud analytics exposure. Tools / Technologies Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

AWS, Git, Jupyter Notebook, or cloud analytics exposure. Tools / Technologies Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse ...

JPMorganChase

Applied AI/ML Lead

Manhattan, NY · On-site

... Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required. • Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch ...

Quiet Professionals LLC

Technical Instructor

Tampa, FL · On-site

The Technical Instructor is responsible for delivering training on the use of Jupyter Notebooks, API integrations, metadata management, and structured data layer development. * The position requires ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Leverage tools such as Jupyter Notebook, Pandas, NumPy, Requests, and related data science libraries * Create data visualizations and dashboards using spreadsheets and other tools * Collaborate with ...

System One Holdings, LLC

Sr Data Consultant

Vienna, VA · On-site

Advanced skills in SQL, Python, Jupyter Notebook/Lab, and Visual Studio Code or comparable tools. * Experience with PowerBI, Plotly, and cybersecurity data frameworks. * Knowledge of algorithmic ...

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 need to be organized, able to construct the instrument control abstraction Client Additional Job ...

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Jupyter Notebook information

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How much do jupyter notebook jobs pay per hour?

As of Jun 9, 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 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.

What is a Jupyter Notebook job?

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.

More about Jupyter Notebook jobs
What cities are hiring for Jupyter Notebook jobs? Cities with the most Jupyter Notebook job openings:
What are the most commonly searched types of Jupyter Notebook jobs? The most popular types of Jupyter Notebook jobs are:
What states have the most Jupyter Notebook jobs? States with the most job openings for Jupyter Notebook jobs include:
What job categories do people searching Jupyter Notebook jobs look for? The top searched job categories for Jupyter Notebook jobs are:
Jupyter Notebook jobs near you
Infographic showing various Jupyter Notebook job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 55% Full Time, 40% Part Time, 2% Contract, and 1% Nights. Highlights an 51% Physical, 3% Hybrid, and 46% Remote job distribution, with an average salary of $83,671 per year, or $40.2 per hour.
Junior Data Scientist

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Posted 17 days ago

Job description

Junior Data Scientist / Performance Data Analyst I

Location: Washington, DC / Hybrid / Government Facility as Required
Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public Trust and Secret clearance; active Secret preferred
Experience Level: 1–3 years

Role Summary

The Junior Data Scientist / Performance Data Analyst I supports a federal Management Information System program by helping collect, clean, validate, analyze, and visualize operational and performance data.

This role is ideal for an early-career data scientist with strong Python, R, SQL, Tableau, machine learning, NLP, and statistical analysis skills who is ready to progress from research, healthcare, or academic data work into federal mission analytics.

Key Responsibilities

  • Collect, clean, validate, and analyze structured and semi-structured program data.

  • Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort.

  • Develop and maintain Tableau dashboards, visual reports, charts, and performance summaries.

  • Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects.

  • Assist senior analysts with statistical modeling, machine learning, trend analysis, and performance measurement.

  • Translate complex datasets into clear summaries for non-technical stakeholders.

  • Document data sources, business rules, transformation logic, assumptions, and analytical methods.

  • Support recurring weekly, monthly, quarterly, and ad hoc reporting requirements.

  • Review model outputs and error patterns to recommend improvements to analytical workflows.

  • Collaborate with senior data scientists, program analysts, project managers, and government stakeholders.

Required Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field.

  • 1–3 years of data science, data analytics, research analytics, BI, or machine learning project experience.

  • Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries.

  • R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages.

  • SQL experience for querying, joining, filtering, and preparing datasets.

  • Tableau, Power BI, R Shiny, or similar dashboard/data visualization experience.

  • Experience with machine learning classification, NLP, model evaluation, or predictive analytics.

  • Ability to inspect model errors, validate outputs, and communicate improvement opportunities.

  • Strong Excel and Microsoft Office skills.

  • Ability to explain technical findings to non-technical stakeholders.

  • U.S. citizenship and ability to obtain required federal suitability/clearance.

Preferred Qualifications

  • Active Secret clearance or prior federal suitability.

  • Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or large statistical datasets.

  • Experience supporting performance metrics, KPI reporting, operational reporting, or program evaluation.

  • Experience building client-facing dashboards or interactive data applications.

  • Experience with BERT, NLP, unstructured text, topic segmentation, or terminology data.

  • Familiarity with data governance, data privacy, PII handling, CUI, or secure data environments.

  • AWS, Git, Jupyter Notebook, or cloud analytics exposure.

Tools / Technologies

Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse, tidymodels, ggplot2, Shiny, NLP, BERT, dashboards, data visualization, statistical modeling.

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