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Jupyter Notebook

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Jupyter Notebook
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Accenture
SpiralScout
Valtech
Unisoft
Diceus
Ciklum
Infopulse
Adidas
Proxet
Accenture
SpiralScout
Valtech
Unisoft
Diceus
Ciklum
Infopulse
Adidas
Proxet

Hire Jupyter Notebook Developers and Engineers

Tacio D., Jupyter Notebook Developer

- Experienced software engineer with a strong focus on automation, testing, and DevOps. - Certified SAFe 5 Practitioner with over 10 years of experience in the IT field, working with a variety of industries, including payment gateways, healthcare, and natural disaster prevention. - Experience with Appium (3 yr. of experience) and K6 (4 yr. of experience) - Proficient in Performance Testing with K6 and Jmeter - Worked with prominent companies, including Johnson & Johnson, which involved some financial software components or integrations. - Proficient in tools such as Argo-workflow, Jira, Mantis, Azure, Cypress, Selenium, Robot Framework, and Jupyter Notebook. - Upper-Intermediate English. - Availability starting from ASAP

Jupyter Notebook

Jupyter Notebook

JMeter

JMeter

Appium

Appium   3 yr.

K6

K6   4 yr.

Nadya, Jupyter Notebook Developer

- 10+ years in Forecasting, Analytics & Math Modelling - 8 years in Business Analytics and Economic Processes Modelling - 5 years in Data Science - 5 years in Financial Forecasting Systems - Master of Statistics and Probability Theory (diploma with honours), PhD (ABD) - BSc in Finance - Strong knowledge of Math & Statistics - Strong knowledge of R, Python, VBA - Strong knowledge of PostgreSQL and MS SQL Server - 3 years in Web Development: Knowledge of C#, .Net and JavaScript for web development - Self-motivated, conscientious, accountable, addicted to data processing, analysis & forecasting

Jupyter Notebook

Jupyter Notebook

Data Analysis

Data Analysis   10 yr.

Python

Python

Atilla B., Jupyter Notebook Developer

- 6 years of experience - Senior Data Scientist with specialization in Machine Learning and Computer Vision - Advanced English.

Jupyter Notebook

Jupyter Notebook

Python

Python   6 yr.

TensorFlow

TensorFlow   5.5 yr.

AWS (Amazon Web Services)

AWS (Amazon Web Services)

Maria Z., Jupyter Notebook Developer

$5000/month

• Business Intelligence/Data Analysis/Visualization • PowerBI, Google Data Studio, Tableau. • Has hands-on experience with various data sources as Cloud DBs (Snowflake), on-premise DBs (Microsoft SQL Server, Oracle, OLAP cubes), APIs (Jira, Service Now etc.) and of course text files (Excel, csv, json format). • Has a strong background in analysis and statistics, has hands-on experience using Python for data analysis. • Solid troubleshooting skills, ability and willingness to learn quickly, highly responsible person. Interested in communication with stakeholders and end-users. • Upper-Intermediate English level. • Available: ASAP • No scheduled vacations within next 3 months.

Jupyter Notebook

Jupyter Notebook

Tableau

Tableau

SQL

SQL

Olha K., Jupyter Notebook Developer

- 13 years of experience in IT - Proficiency in Python, Pandas. - Data quality for ICC profiles and algorithms for display color calibration - Mathematical modeling (MATLAB, Octave, Comsol, MathCad), software algorithms, numerical methods (algebra, interpolation, regression, nonlinear problems, optimization, ordinary and partial differential equations), machine learning. - Upper-Intermediate English. - Available in two weeks

Jupyter Notebook

Jupyter Notebook

Python

Python

Nina A., Jupyter Notebook Developer

- Data visualization expertise with Tableau and Power BI - Strong knowledge of PostgreSQL and MS SQL - Easy-learning and goal-oriented with good teamwork skills - Responsible, communicable, and creative - Advanced English

Jupyter Notebook

Jupyter Notebook

Microsoft Power BI

Microsoft Power BI

Oleg B., Jupyter Notebook Developer

$58/hr

- Over 15 years experience in leading the design, developing, and delivery of complex IT projects and high-performance solutions, +10 years in business intelligence and in the data analytics field - Advanced hands-on experience in reactive, microservices-based, distributed system design and development including stream application platforms for advanced analytics including machine learning and data science - Proficient Data Engineer-researcher focused on the immediate benefits for the business using Big Data tools (AWS Glue, AWS Greengrass, AWS EMR, AWS Data Lake) with advanced analytical and visualization APIs (graph DB – Titan, Neo4J, Tinkerpop, software development – Scala, Python) with CI/CD pipelines – Jenkins, Circle CI, GitLab actions - Generative AI - Q&A with multiple choices, pre-trained models (Hugging Faces ecosystem, T5, BERT, GPT), ChatBot for online gambling platform (LangChain, Pinecone, Cohere, Faiss, Hugging Face Hub) - Generative AI in NLP - information retrieval for 1) generate personalized recommendations for products or services based on a user's preferences and past behavior 2) summarize legal documents and contracts, making it easier for lawyers and legal professionals to review and analyze large volumes of legal documents. 3) create content such as product descriptions, blog posts, and social media posts - Recommendations platforms - mobile games platform (generate game recommendations based on player history, promo-offers, AWS Personalize ), self-learning algorithms for data-based risk management in agriculture (Monte-Carlo tree and Markov chains) - Upper-intermediate English. - Availability starting from ASAP

Jupyter Notebook

Jupyter Notebook

ML

ML

Vladyslav S., Jupyter Notebook Developer

- Senior Data Scientist with deep expertise in Machine Learning and Computer Vision - Proficient in Python, C++, and various data science libraries such as NumPy, Pandas, and scikit-learn. - Holds a Doctor of Philosophy degree in Computer Software Engineering from Kyiv Polytechnic University.

Jupyter Notebook

Jupyter Notebook

Python

Python   7 yr.

Viacheslav, Jupyter Notebook Developer

- 4+ years of experience as DevOps Engineer - Upper-Intermediate English. - Available ASAP.

Jupyter Notebook

Jupyter Notebook

Python

Python

AWS (Amazon Web Services)

AWS (Amazon Web Services)

Sergii Ch, Jupyter Notebook Developer

- Senior Data Engineer with 10+ of experience specializing in designing, optimizing, and maintaining data infrastructures, data flow automation, and algorithm development. - Has expertise in Python, SQL/NoSQL, ETL processes, PySpark, Apache Airflow, and an array of AWS services, complemented by a strong foundation in database systems and cloud-based solutions. Proven capability in handling large-scale data analytics and processing with a focus on performance and cost efficiency in cloud environments. Proficient in developing robust ETL pipelines, performing data migrations, and optimizing complex queries and storage procedures, leveraging extensive experience across multiple industries and platforms. - Start: ASAP - English: Upper-Intermediate

Jupyter Notebook

Jupyter Notebook

Python

Python   10 yr.

SQL

SQL   10 yr.

AWS EC2

AWS EC2

Talend ETL

Talend ETL   10 yr.

Apache Airflow

Apache Airflow

Rolan A., Jupyter Notebook Developer

$50/hr

- More than 10 years’ experience of software development - Data science skills. Computer Vision, multiple view geometry, camera calibration, LIDAR, object detection, semantic segmentation, instance segmentation, time series, dynamic programming - Software Engineering skills. Experience of IoT (Internet of Things) and Embedded development - Solution-oriented scientist focused on R&D and product delivery with 9 years of experience on the outsource domain - Accustomed to self-education and independent problem solution - My inspiration is exiting by challengeable and reasonable engineering tasks. Pitching skills from years of conferences attendance and strong understanding of business needs are my strengths - Intermediate English. - Availability starting from ASAP

Jupyter Notebook

Jupyter Notebook

Python

Python

Simon K., Jupyter Notebook Developer

- 2+ years of experience with Python as a Data Engineer and Deep/Machine Learning Intern - Experience with Data Vault modeling and AWS cloud services (S3, Lambda, and Batch) - Cloud Services: Sagemaker, Google BigQuery, Google Data Studio, MS Azure Databricks, IBM Spectrum LSF, Slurm - Data Science Frameworks: PyTorch, TensorFlow, PySpark, NumPy, SciPy, scikit-learn, Pandas, Matplotlib, NLTK, OpenCV - Proficient in SQL, Python, Linux, Git, and Bash scripting. - Had experience leading a BI development team and served as a Scrum Master. - Native English - Native German

Jupyter Notebook

Jupyter Notebook

Python

Python

Only 3 Steps to Hire Jupyter Notebook Developer

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3
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FAQs on Jupyter Notebook Development

What is a Jupyter Notebook Developer? Arrow

A Jupyter Notebook Developer is a specialist in the Jupyter Notebook framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Jupyter Notebook Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Jupyter Notebook Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Jupyter Notebook Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Jupyter Notebook, then hiring a Jupyter Notebook Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Jupyter Notebook Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Jupyter Notebook Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Jupyter Notebook Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Jupyter Notebook Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Jupyter Notebook Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Jupyter Notebook Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Jupyter Notebook Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is Jupyter Notebook used?

How and where
  • Data Visualization: Analyzing sales data
  • Machine Learning: Predicting customer churn
  • Data Cleaning: Removing duplicate entries
  • Statistical Analysis: Studying market trends
  • Collaborative Research: Sharing findings with team
  • Interactive Presentations: Showcasing project results
  • Education: Teaching programming concepts
  • Financial Modeling: Forecasting revenue growth
  • Bioinformatics: Analyzing genetic sequences
  • Social Media Analysis: Tracking user engagement

Compare Junior, Middle, Senior, and Expert/Team Lead Jupyter Notebook Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior1-2 yearsResponsibilities & Activities:

  • Code debugging
  • Simple feature implementation
$50,000
Middle3-5 yearsResponsibilities & Activities:

  • Module development
  • Code optimization
$70,000
Senior6-8 yearsResponsibilities & Activities:

  • Architectural design
  • Team mentoring
$90,000
Expert/Team Lead9+ yearsResponsibilities & Activities:

  • Project planning
  • Client interaction
$120,000

Quick Facts about Jupyter Notebook.

Facts about
  • Jupyter Notebook was born in the year 2014, emerging from the minds of tech geniuses.
  • From data science to machine learning, projects of all shapes and sizes adore Jupyter.
  • With its user-friendly interface, Jupyter welcomes all tech enthusiasts, from beginners to pros.
  • Python, the beloved programming language, dances hand in hand with Jupyter Notebook.
  • Did you know? Jupyter’s name is a nod to three core programming languages: Julia, Python, and R.

TOP Jupyter Notebook Related Technologies

Related Technologies
  1. NumPy
  2. Pandas
  3. Matplotlib
  4. Scikit-learn
  5. TensorFlow (Google)
    Author: Google, 2015
  6. PyTorch (Facebook)
    Author: Facebook, 2016
  7. Keras (François Chollet)
    Author: François Chollet, 2015
  8. OpenCV

What are top Jupyter Notebook instruments and tools?

Instruments and tools
  • JupyterLab: The ultimate Jupyter environment
  • nteract: Interactive computing awesomeness
  • Colab: Google’s collaborative Jupyter
  • Zeppelin: Apache’s data science notebook
  • Hydrogen: Supercharge your Atom editor

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