Hire Data Scientists & Machine Learning Engineers with Confidence
Let your candidates showcase their data chops with full support for Jupyter notebooks, Python, R, PyTorch, TensorFlow, Spark, and Julia.
Refine Your Hiring Process with Data-Driven Assessments
Enhance your recruitment approach by utilizing CodeSubmit's Jupyter Support, enabling candidates to demonstrate their expertise in a practical, real-world context. Assess proficiency in a range of technologies including Python, R, and various machine learning frameworks, ensuring a comprehensive evaluation of skills.
Our platform facilitates an environment that mirrors real-world challenges, allowing you to gauge the practical abilities of candidates effectively and make informed hiring decisions.
Jupyter Minimal: Utilize a JupyterLab environment to enable candidates to work on notebooks collaboratively, ensuring a focus on practical skills.
Jupyter SciPy: Access a JupyterLab setup with SciPy to provide a robust assessment environment, incorporating key Python scientific packages.
Jupyter TensorFlow: Evaluate candidates on machine learning model development within a JupyterLab environment equipped with TensorFlow.
Advanced Evaluation with Specialized Tools
Jupyter R: Provide an environment where candidates can showcase their R programming skills, complete with essential packages.
Jupyter PyTorch: Offer a platform for candidates to demonstrate their knowledge in deep learning, using a PyTorch-based JupyterLab environment.
Jupyter Julia: Enable candidates to exhibit their technical computing abilities with Julia in a high-performance JupyterLab setting.