לוח משרות דרושים Senior Data Scientist בפתח תקווה

We are looking for a Senior Data Scientist to join our classification team.
A critical component to enabling cross-border is delivering seamless clearance through customs. This is also an incredibly challenging problem where we have radically changed the industry by delivering the worlds first machine learning-based, highly accurate classification system that replaces the need for people to inspect and classify individual products. This capability enables our clients to ship goods from anywhere in the world to anywhere in the world directly from their stores and fulfillment centers, keeping customers happy with fast and seamless delivery.
Main Responsibilities:
Be a subject matter expert in a ML domain.
Research, design, maintain, and evolve the companys machine learning models to support the worlds fastest and most accurate classification system for cross-border trade.
Develop, fine-tune, and deploy Large Language Models (LLMs) to enhance classification accuracy and automation capabilities.
Train and optimize deep learning models for NLP applications, ensuring efficient processing of complex textual data.
Collaborate with a wide range of stakeholders and across multi-functional teams to ensure we continue to build great products and deliver significant value to its clients.

Required Senior Data Scientist
What will you do:
As Senior Data scientist, you will shape the future of identity security and develop innovative AI/ML solutions that enhance security and protect the emerging agentic AI landscape in top organizations. Drive AI research and engineering to address evolving threats and protect critical digital assets effectively.
Drive AI/ML projects from research to production, leveraging advanced algorithms, LLMs, classification models, Unsupervised learning and optimization techniques to enhance cybersecurity solutions.
Model Building: Design, implement, and optimize machine learning models, including deep learning, using frameworks such as PyTorch, TensorFlow, Hugging Face, and scikit-learn.
Work closely with product manager, engineers, software architects and analysts to understand requirements, validate model assumptions, and deliver actionable insights.
Identify AI/ML impact opportunities and translate business needs into actionable roadmap items.
Stay current with the latest advancements in data science and apply best practices to ensure optimal performance.