We're looking for an experienced Data Scientist to join our DS team under the CIO office. The key responsibilities are to provide our internal business partners with robust, reliable, and innovative AI / ML / DS solutions for their business problems, providing 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.
As a Data Scientist at JFrog you will...
Listen to our business stakeholders and their challenges and propose data-driven solutions to problems using ML models and advanced statistical methods. For example, a classifier for a rare event that will trigger business action, or a time series predictor in a noisy environment that will affect business planning.
Work side-by-side with business units to gather requirements, collaborate with cross-functional teams, iterate on the process of data research, and deliver to production.
Own ML models full lifecycle and monitor existing models, while continuously improving our automation pipeline from a DS perspective.
Rapidly prototype new ideas (e.g., custom RAG-based solutions, Agentic processes, knowledge graphs) based on applied research or academic concepts, and if successful, productionize.
Be a primary contributor for the semantic engine component of the organizational brain platform and be able to serve as a technical authority in that domain.
Look for improvement and innovation opportunities with business impact, and be a source of high-quality ideas.
Be an independent contributor with excellent communication skills, both in writing and verbally.
To be a Data Scientist at JFrog you need…
MSc. in computer science or equivalent quantitative field (e.g., Mathematics, Statistics, Engineering, Economics), with a focus on Machine Learning.
At least 5 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.
Hands-on 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.
Ability to serve as a technical expert for RAG and complex agentic workflows such as deep research and wide search (almost complete recall, high precision, high scale, low latency, low cost).
Proficient hands-on experience with databases.
Experience in Time-Series forecasting.
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.
