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K6 4yr.
Appium 3yr.
JMeter
C#
Groovy
JavaScript
Python
R
Ruby
Scala
TypeScript
Android Studio
Beautiful Soup
Flask
NumPy
Pandas
PyTest
Robot Framework
Scikit-learn
Capybara
Salesforce
Apache Spark
ETL
Jupyter Notebook
Tableau
Apache Spark
Snowflake
SQL
NumPy
Scikit-learn
AWS
Azure
GCP (Google Cloud Platform)
Azure
Azure DevOps
Android Studio
Excel
XCode
Arduino
Salesforce
SAP
Burp Suite
Capybara
Cypress
Mantis
Mocha
Postman
PyTest
Selenium
SoapUI
TestLink
Zephyr
CircleCI
Dapr
Jenkins
Kubernetes
Mantis
Docker
Docker Compose
Git
GitLab
SVN
ITIL
Kanban
Scrum
Jira
Shell Scripts
Argo
Argo workflows
HP ALM
httparty
IBM
IOT
Kali Linux
SPSS
Zaproxy
...

- 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

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Seniority Senior (5-10 years)
Location Italy
Data Analysis 10yr.
Python
C#
Elixir
JavaScript
R
ASP.NET Core Framework
ASP.NET MVC Pattern
Entity Framework
caret
dplyr
rEDM
Shiny
tidyr
dash.js
Flask
Matplotlib
NLTK
NumPy
Pandas
Plotly
SciPy
TensorFlow
Basic Statistical Models
Chaos Theory
Cluster Analysis
Decision Tree
Factor Analysis
Jupyter Notebook
Linear and Nonlinear Optimization
Logistic regression
Multi-Models Forecasting Systems
Nearest Neighbors
Nonlinear Dynamics Modelling
Own Development Forecasting Algorithms
Principal Component Analysis
Random Forest
Ridge Regression
Microsoft SQL Server
PostgreSQL
NumPy
TensorFlow
AWS
GCP (Google Cloud Platform)
Anaconda
Atom
Microsoft Visual Studio
R Studio
Git
RESTful API
Windows
...

- 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

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Seniority Senior (5-10 years)
Location Ukraine
Python 6yr.
TensorFlow 5yr.
AWS
Flask 6yr.
Scikit-learn 6yr.
OpenCV 6yr.
Scikit-learn 6yr.
AWS Cloud Data Science services 6yr.
R
Dlib
Matplotlib
NumPy
Pandas
Seaborn
Jupyter Notebook
AWS DynamoDB
AWS SageMaker (Amazon SageMaker)
NumPy
AWS API Gateway
AWS Boto3
AWS DynamoDB
AWS EC2
AWS Elastic Kubernetes Service (EKS)
AWS Lambda
AWS RDS (Amazon Relational Database Service)
AWS S3
AWS SageMaker (Amazon SageMaker)
Api Gateway
AWS API Gateway
Bash
Docker
Ffmpeg
Git
Linux
Windows
MatLab
Data Science
Statsmodels
...

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

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Seniority Senior (5-10 years)
Location Cyprus
Tableau
SQL
Python
CSS
Jupyter Notebook
Microsoft Power BI
Pentaho
Apache Hadoop
dbt
Google BigQuery
Microsoft SQL Server
MS SQL Server Management Studio
Oracle Database
Snowflake
Google BigQuery
Google Data Studio
Excel
Microsoft Visual Studio
Git
Hypothesistesting
Jira API
ServiceNow API
Exploratory DataAnalysis
HTM
Jira DB
Statistics modeling andmethods
...

• 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.

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Seniority Middle (3-5 years)
Location Ukraine
Python
C++
JavaScript
CSS
HTML
Matplotlib
NumPy
Pandas
Plotly
PyTest
Scikit-learn
Seaborn
Apache Airflow
Jupyter Notebook
MS Access
MySQL
PostgreSQL
SQL
NumPy
Scikit-learn
Agile
Kanban
Scrum
Excel
MathCAD
MatLab
PyCharm
Git
Jira
PyTest
Comsol
Octave
...

- 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

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Seniority Senior (5-10 years)
Location Radomsko, Poland
Microsoft Power BI
Python
Pandas
Plotly
Google Spreadsheets
Jupyter Notebook
Tableau
DBeaver
PostgreSQL
SQL
AWS
Adobe Illustrator
Adobe Photoshop
Anaconda
Excel
Microsoft PowerPoint
Microsoft Visual Studio
Microsoft Visual Studio Code
R Studio
Asana
Jira
GitHub
...

- 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

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Seniority Senior (5-10 years)
Location Ukraine
ML
Python
R
Scala
Akka
BentoML
Dask
Django
Keras
Matplotlob
Metaflow
Pandas
PyTorch
Seaborn
TensorFlow
Apache Airflow
Apache Hive
Apache Spark
HBase
Jupyter Notebook
Microsoft Power BI
Sqoop
Apache Hadoop
Apache Hive
Apache Kylin
Apache Spark
AWS ElasticSearch
AWS Redshift
Cassandra
ELK stack (Elasticsearch, Logstash, Kibana)
Microsoft SQL Server
MongoDB
MySQL
Neo4j
Oracle Database
PostgreSQL
Redis
Snowflake
SQL
AWS SageMaker (Amazon SageMaker)
Keras
Kubeflow
Mlflow
PyTorch
TensorFlow
AWS
Azure
Azure ML
GCP (Google Cloud Platform)
AWS EC2
AWS ElasticSearch
AWS Glue
AWS Kinesis
AWS Lambda
AWS RDS (Amazon Relational Database Service)
AWS Redshift
AWS S3
AWS SageMaker (Amazon SageMaker)
AWS SAM
AWS VPC
Azure
Ansible
CI/CD
Helm
Kubernetes
Apache HTTP Server
Apache Mesos
API
Consul
Debian
Linux
Ubuntu
Windows
Docker
Terraform
Git
Jira
Redmine
Kafka
Hashicorp
Pachyderm
Raspberry
...

- 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

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Seniority Architect/Team-lead
Location United Arab Emirates
Python 7yr.
C
JavaScript
Rust
aiohttp
Django
Flask
Matplotlib
NumPy
Pandas
PyQt
Scikit-learn
SciPy
Seaborn
TensorFlow
Dlib
Jupyter Notebook
PostgreSQL
SQLAlchemy
SQLite
NumPy
OpenCV
Scikit-learn
TensorFlow
AWS Boto3
AWS S3
AWS SQS
AzureSQL
Bash
cURL
Docker
Ffmpeg
Git
Grafana
MatLab
Postman
Unix
Windows
CSS/HTML
Wolfram Mathematica
...

- 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.

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Seniority Senior (5-10 years)
Location Kyiv, Ukraine
Python
AWS
C++
Go
JavaScript
Django
Flask
Matplotlib
NumPy
Pandas
Pip
SciPy
JSON
Jupyter Notebook
MongoDB
MySQL
PostgreSQL
NumPy
OpenCV
MS Azure
Ansible
Chef
Apache HTTP Server
Nginx
Atlassian Trello
Jira
Bash
BitBucket
Git
GitHub
GitLab
CEX
CLion
MatLab
Microsoft Visual Studio Code
PyCharm
Simulink
Docker
macOS
Ubuntu
Windows
STL
Boost C++
...

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

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Seniority Senior (5-10 years)
Location Ukraine

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Manager
Maria Lapko
Global Partnership Manager
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Infopulse
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Want to hire Jupyter Notebook developer? Then you should know!

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How and where is Jupyter Notebook used?

  • 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.

  • 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

  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?

  • 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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Talk to Our Expert

Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager

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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.