Junior Data Scientist

Who are we?

Our mission at Webiks is to create powerful, data-driven applications and models that help our clients innovate and grow. We build custom software and custom models for clients from multiple industries, including Defense, Security, Health, and Automotive. We think long-term. Forming long-lasting strong relationships and partnerships with our clients is at the core of our strategy.

Who are you?

At Webiks, data scientists are both scientists and engineers and are required to operate in different cloud platforms (AWS, GCP, Azure), Linux environment, developing in Dockers, etc. You will be a Hands-on technical data scientist, This position doesn’t require previous experience as a Data Scientist, but it does require programming experience and knowledge in both deep learning and ML algorithms. You have a can-do attitude and are able to be agile: keep up to date with the latest research and learn new tools!

What’s this job about?

• Prepare and execute Kaggle-style machine learning competitions, such as the MAFAT Challenge, operated by Webiks Data Science teams.
• Design, develop, and train state-of-the-art ML models. All the way from rapid prototyping to production-ready models.
• Collaborate with engineers and our data scientists, full-stack software development, and product management teams - to implement value-adding solutions.
• Evaluate your results and improve your solutions based on business metrics and scientific train-val-test methodologies.
• Explore innovative techniques, such as active learning, self-supervised learning, and generative models, and evaluate their usability to our use cases.
• Execute data-oriented projects, including understanding the requirements and goals, setting the criteria, data exploration, model selection, training, and evaluation, all the way to full-scale implementation and integration.
• Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of Data Science disciplines and related fields.
• Please be aware that projects may change and the area of focus might change (e.g. from NLP to Computer Vision).

• Proficiency in Python is a must.
• Programming experience (with and without data science) – a must.
• B.Sc. degree graduate with relevant courses in ML, DL (Bootcamp / Coursera, FASTAI, etc. / relevant academic courses) - a must.
• Experience with Pytorch framework - a must.
• Experienced with cloud platforms and Linux environments - a significant advantage.
• Experience with reading academic papers and reproducing their results and the ability to learn and work with new tools and methodologies - an advantage.

Please attach to your email or CV links to any of the following:

• A technical blog post you have written (English or Hebrew).
• A Kaggle competition (non-titanic ones) you have participated in and scored well.
• An open-source project you have contributed to.