“DJ is phenomenal. They find amazing candidates, make hiring extraordinary devs easy. Think of it as having a top recruiter, HR, and payroll departments in dozens of countries.”
Get a curated shortlist of senior Jupyter engineers in 2 weeks. We headhunt senior-level Jupyter Notebook experts who join your team. No hiring hassles, just exceptional remote developers ready to drive your data science projects forward.
Andres
Recruitment Expert
Verified
Our Jupyter developers bring deep technical skills across the entire data science and machine learning stack.
JupyterLab, Jupyter Notebook, IPython, nbconvert, Jupyter widgets, interactive visualizations, notebook architecture
Pandas, NumPy, SciPy, scikit-learn, statsmodels, data wrangling, statistical analysis, feature engineering.
TensorFlow, PyTorch, Keras, model training, hyperparameter tuning, MLOps, experiment tracking with MLflow/Weights & Biases
Matplotlib, Seaborn, Plotly, Bokeh, Altair, interactive dashboards, custom visualizations, storytelling with data
PySpark, Dask, AWS SageMaker, Google Colab, Azure ML, Databricks, distributed computing, scalable pipelines.
NLP, computer vision, time series analysis, recommendation systems, A/B testing, causal inference, deep learning
Juan
Jupyter Platform Engineer
Juan is an experienced Jupyter platform engineer and has over 9 years of experience. She stands up JupyterHub on Kubernetes with SSO (Okta/Azure AD), role-based access, and secure user images for Python/R.
Maia
Jupyter Data Apps Lead
Maia is an experienced Jupyter data-apps developer and has over 10 years of experience. She ships interactive analytics with ipywidgets/Voila/Plotly.
Ethan
Jupyter + MLOps Engineer
Ethan is an experienced Jupyter/MLOps engineer and has over 8 years of experience. He turns exploratory notebooks into production-ready artifacts using nbdev for literate, tested code, Papermill for parameterized runs, and CI/CD.
Testimonials
As a leading remote IT recruitment agency, we care that our clients take part throughout the hiring process. Why? Because for us, hiring a qualified candidate is not only about the skills and abilities, but it’s also about how candidates match with your company’s culture.
We discuss your technical requirements, team structure, company culture, and project goals. This 30-minute consultation helps us understand exactly what you need in a Jupyter developer.
Our recruiters starts the headhunting process worldwide, specifically targeting Jupyter experts who match your criteria. We prioritize time zone compatibility and English proficiency.
Within 5 business days, receive 3-5 qualified candidate profiles complete with portfolios, technical assessments, and video introductions. Each candidate is interview-ready.
Once you select your developer, we handle contracts, international payroll setup, benefits, equipment procurement, and compliance. Your new hire starts productive from day one.
We proactively source across global markets and triage applicants based on their expertise, salary band, U.S. time-zone overlap, English fluency, and long-term availability.
A recruiter assesses English proficiency, async communication, culture add, motivation, and availability. We verify work history and stability (no serial short stints).
Our screening includes technical assessments covering Python programming, data science libraries, statistical knowledge, and Jupyter-specific skills. We review GitHub repositories and Jupyter notebook portfolios, conduct behavioral interviews to assess communication skills, and verify English proficiency and time zone availability. Only 3% of applicants pass our vetting process.
Senior engineers run a live session to walk through design trade-offs, testing approach, and deployment basics.
We speak with past stakeholders and review code artifacts where possible. We confirm achievements, ownership level, and reliability in distributed teams.
We align on start date, hardware/security constraints, preferred collaboration tools, and, when needed, relocation logistics inside the US.
| Model | Best For | What You Get | Trade-offs |
|---|---|---|---|
| DistantJob (Placement) | Long-term ownership | Full-time Jupyter dev in your team; U.S. overlap; HR handled | Not for one-off gigs |
| Outsourcing agency | Managed project | Vendor team delivers scope | Less control, vendor IP/process |
| Marketplace/freelancers | Short tasks | Fast, flexible | Turnover; you manage vetting/compliance |
| Job boards/DIY | Big applicant pools | Control | Slow; heavy screening work |
No. We place full-time remote employees who work in your repos and rituals.
Most teams onboard a Happstack developer in 2–4 weeks.
Unlike traditional recruiters who source locally or staffing agencies that provide contract workers, DistantJob specializes in placing full-time remote developers as direct employees. We handle international hiring complexities including payroll, compliance, and HR administration. Our candidates are rigorously vetted senior professionals, not junior developers or freelancers.
Yes, the shortlists prioritize dependable overlap and strong async communication.
Yes: global contracts, NDA, payroll, benefits, and compliance are included.
You’re covered by our money-back and replacement guarantees.
Ready to hire the best developers, 40% faster than the industry average? Give us your email, and our account manager will get in touch ASAP!
When you partner with DistantJob for your next hire, you get the highest quality developers who will deliver expert work on time. We headhunt developers globally; that means you can expect candidates within two weeks or less and at a great value.
Increase your development output within the next 30 days without sacrificing quality.