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
To be a Data Scientist in JFrog you need...
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
