Data Scientist

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. Thousands of customers, including 75% of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production -- a concept we call “liquid software.” Wouldn't it be amazing if you could join us in our journey?

We are looking for a Data Scientist to join our fast growing company. As a Data Scientist you will Design, develop, monitor and own data sciences projects using ML practices.

As a Data Scientist in JFrog you will...

• Analyze our data and propose solutions to problems using ML models and advanced analysis methods
• Own ML models full lifecycle; work side by side with business units to gather requirements, iterate the process of data research and deliver to production
• Monitor existing models, while continuously improving our automation pipeline
• Manage our automated tools which could be used to reduce human efforts and improve efficiency (ML-OPS)
• Look for improvement and innovation opportunities with business impact. Provide a source of high-quality ideas
• Think about the future and make sure we will have the right data to support our plans
  
  

• MSc. in computer science or equivalent or quantitative ( e.g Mathematics, Engineering), with focus on Machine Learning field
• At least 3 years of proven industry experience in Data Science / ML roles, with a proven record of developing ML models from initiation to production
• Proficient Hands-on experience with the Python ML/DL ecosystem (e.g. Pandas, Scikit-Learn, PyTorch, Data Visualization)
• Proficient Hands-on experience with databases and SQL
• Experience in Time-Series forecasting or Large Language Models (LLMs)
• Hands-on experience with modern MLOps platforms
• Proven ability to work independently; Delivery oriented
• Team player, effective interpersonal skills. Manage relationships with key partners across different functions. Able to collaborate with remote teams effectively
• Excellent spoken and written English