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Jupyter Notebook Jobs in Michigan (NOW HIRING)

AI Specialist

Pontiac, MI · On-site

$80/hr

Apache Spark, Databricks, Jupyter Notebooks * Cloud Platforms: AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks) * Databases: SQL, NoSQL * Data Visualization: Tableau, PowerBI

AI Specialist

Pontiac, MI · On-site

$120 - $180/hr

Python, R, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases, data ...

Utilize one or more commercial or open-source analysis platforms daily (e.g., Jupyter Notebook, RStudio, Posit, Microsoft Azure, Neo4j). * All other duties as assigned. Experience, Education and ...

New

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

Machine Learning Tutor

Detroit, MI · Remote

$18 - $40/hr

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.

Data Science Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.

Data Science Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Data Science Tutor

Detroit, MI · Remote

$18 - $40/hr

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Python, R, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases, data ...

Jupyter Notebooks or similar integrated development environments. * Version control systems such as Git. * Experience with Fast API creation (i.e. functional programming, automated testing ...

Jupyter Notebooks or similar integrated development environments. * Version control systems such as Git. * Experience with Fast API creation (i.e. functional programming, automated testing ...

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Jupyter Notebook information

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.

What are the most commonly searched types of Jupyter Notebook jobs in Michigan?

The most popular types of Jupyter Notebook jobs in Michigan are:

What are popular job titles related to Jupyter Notebook jobs in Michigan?

For Jupyter Notebook jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Jupyter Notebook jobs in Michigan look for?

The top searched job categories for Jupyter Notebook jobs in Michigan are:

Infographic showing various Jupyter Notebook job openings in Michigan as of August 2026, with employment types broken down into 91% Full Time, and 9% Temporary. Highlights an 74% In-person, and 26% Remote job distribution.

$80/hr

Full-time

Re-posted yesterday


Job description

Job Title: AI Specialist
Location: Pontiac, MI
Job Type: Contract
Required Skills
  • Programming: Python, R
  • ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn
  • Big Data & Analytics: Apache Spark, Databricks, Jupyter Notebooks
  • Cloud Platforms: AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks)
  • Databases: SQL, NoSQL
  • Data Visualization: Tableau, PowerBI