Hire the Best Freelance Jupyter Notebook Developers in the World
Jupyter Notebook Developer
Experienced Jupyter Notebook engineer with seamless project implementation
Loves guacamole & hates spoilers
Stacked portfolio of beautiful, functional websites
Known for his epic charcuterie & cheese boards
Mobile engineering guru with a knack for translating stakeholder needs
Would rather be diving Palau’s Blue Corner
Top Jupyter Notebook Developers with Upstack
Radislav is an expert Senior Engineer with 10+ years of experience in the development of solutions for consoles, desktop, web, mobile and hybrid applications; covering different spectrums of tech stacks, tools, and frameworks including Python, Java, NLP, Android, and many more. He is hands-on with data pipelines, machine learning, deep learning, cloud infrastructure, and the extraction of analytics from a multitude of data sources in the iteration of solutions that have a direct and measurable impact on clients. He thrives in a fast-paced environment, values the “team” and leverages the expertise of teammates on projects.
Well-rounded Data Analyst with 2+ years of experience working with agile projects, Big Data, AWS cloud technology, and developing algorithms on Python or Spark for ETL. I am passionate about descriptive analytics, data visualization, and application of data analysis solutions towards Big Data. Proven experience in interpreting and analyzing data to drive growth for companies such as Santander, BNP Paribas, and Vivo.
Skilled Data Engineer focused on using data science and data engineering to help companies leverage data in favour of their product/business. Demonstrated proficiency in deriving valuable insights from data to solve business problems. I have a strong engineering background and significant experience as a backend, front-end, and full-stack developer allowing me to autonomously build solutions end-to-end. Highly proactive, I have a keen interest in opportunities focused on data science and machine learning.
Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, etc.), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a Ph.D. in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.
Jakob is an Engineer turned Data Scientist and Machine Learning Engineer, with proficiency in Python and its frameworks. He has the ability to transform a sea of data into actionable insights that can have an impact on businesses and projects- from building predictive models for various types of cancer detection, to setting-up consumer facing models in the transportation and entertainment sectors, as well as the financial industry. In his role as an Educator in the Data Science and Data Analytics programs, he has shown great communication and mentorship skills, having encouragingly guided his students to achieve high-level technical skills and great professional performance in the industry.
Hire Jupyter Notebook Developers with Upstack
Hire a skilled jupyter notebook developer and improve your company with Upstack You want to find the right prospect the first time, a professional who is smart, responsible, and experienced, or you will have difficulty getting the project off the ground. Upstack can fix all of your hiring issues by matching you with jupyter notebook programmers which are within the top 1Percent of their skill set. Our powerful matching process uses state-of-the-art artificial intelligence that finds your organization the perfect prospect for your forthcoming project. It's our one of a kind blend of artificial intelligence and one-on-one job interviews that guarantees your company an excellent fit for your development team. At Upstack our goal is to find you a programmer as quickly as possible, one who fits in with your team and helps drive forward your project right away. Our programmer hiring process continues to be enhanced through our many years in service and is trusted by many fast-growing startups. Start your hiring process with Upstack today and start adding capable individuals to your staff.
They trust Our Jupyter Notebook Developers
Why hire a Jupyter Notebook developer with Upstack
Top Jupyter Notebook talent pre-vetted for a perfect fit.
Our 8-point assessment evaluation ensures that every senior Jupyter Notebook developer you interview exceeds expectations across technical, cultural, and language criteria.
Hire reliable, passionate Jupyter Notebook developers.
From late-night sprints to jumping on a last-minute face-to-face, we ensure that your recruits are down to get the job done right.
Risk-free 14-day trial.
Confidently onboard candidates with our no-questions-asked trial period. We’ll walk you through the contract-to-hire process if and when you’re ready to make it permanent with your new Jupyter Notebook engineer.
Our Client Success Experts provide white-glove service.
Stay laser-focused on your business goals while our team of experts curates potential candidates and manages seamless programmer onboarding.
Build your optimal team confidently, quickly.
UpStack handles everything including background and reference checks, legal issues, and more. Our platform streamlines billing, timesheets, and payment all in one easy-to-access place.
Schedule a call with a Client Success Expert to get starting hiring a Jupyter Notebook developer.Start hiring Start hiring Start hiring
Hire from the Best.
Working with our Client Success Experts, we’ll help you build the remote team of your dreams with top Jupyter Notebook talent from around the world.
Pre-vetted, reliable Jupyter Notebook developers are standing by.
Hiring Jupyter Notebook Developers | FAQs
How much does it cost to hire a Jupyter Notebook developer?
UpStack has a simple billing model where each Jupyter Notebook developer has a standard hourly rate averaging between $65-$75 per hour. Rates are based on skills, knowledge, and experience, and our developers are available mainly for full-time engagement (40 hours per week) and the occasional part-time opportunity (20 hours per week).
What is the process to find a Jupyter Notebook developer?
You’ll connect with an UpStack Client Success Manager to determine your immediate needs. Our team uses a combination of AI and personal assessment to short-list candidates that match your job requirements. From there, you interview, select, and onboard the perfect developer, all within days of your initial call.
How does UpStack find its Jupyter Notebook developers?
UpStack’s talent recruitment team connects with software developers around the globe every day. Each Jupyter Notebook programmer is vetted for technical, communication, and other soft skills necessary for a developer to successfully work with your team. Once vetted, the candidates are accepted into the UpStack developer community.
How is UpStack different from an agency or recruiter?
UpStack's community of available, pre-vetted engineering talent means minimizing roadblocks to scaling your team effectively, efficiently, and immediately. Our Client Success Experts work with you and your UpStack developer to ensure a smooth and seamless engagement.
Can I hire UpStack Jupyter Notebook developers directly?
Yes, you can hire UpStack Jupyter Notebook developers at any time, and with the same assurance of smoothly on boarding talent risk-free. First, we’d create a job opening on our portal. Then, we’d vet, interview, and match developers that meet your needs. If you’re satisfied at the end of the 14-day trial period, at any time you can directly hire them.