Role overview
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're looking for an experienced Data Scientist to join our DS team under the CIO office. Our key responsibilities are to provide our internal business partners with robust, reliable, and innovative AI/ML/DS solutions for their business problems, thereby delivering direct value to the business. An ideal candidate blends solid data science foundations, proven backend engineering skills, and a demonstrated track record building real-world systems. You should be able to take an idea (or propose one) and independently work from POC to production MVP, know when to move fast and when to slow down, while continuously communicating with stakeholders as their trusted partner, and enjoy collaborating with members of the team.
- An independent contributor with excellent communication skills, both in writing and verbally.
- MSc. in computer science or equivalent quantitative field (e.g., Mathematics, Statistics, Engineering, Economics), with a focus on Machine Learning
- At least 3 years of proven industry experience in DS/ML roles, with a proven record of developing ML models from initiation to production
- Strong foundations in data science and machine learning, including how to evaluate model outputs & performances
- Ability to think scientifically and investigate problems using messy, ambiguous, or incomplete data and communicate results clearly and efficiently
- Proficient hands-on experience with the Python ML/DL ecosystem
- Proficient hands-on experience with databases
- Experience in Time-Series forecasting
- Experience in implementing and evaluating custom RAG systems with a deep understanding of how they work, how to evaluate their performance, and how to improve them.
- Proven ability to work independently; Delivery-oriented
- Team player with effective interpersonal skills. Manage relationships with key partners across different functions. Able to collaborate with remote teams effectively
- Excellent spoken and written English