Senior Data Scientist (ML & NLP)

TL;DR

Senior Data Scientist (ML & NLP): Building classification, scoring, and prediction models for B2B and B2C domains with an accent on extracting signals from unstructured user data and evaluating AI agent outputs. Focus on deploying NLP models into production, designing domain-specific features, and improving AI-generated result accuracy.

Location: Onsite in Jerusalem, Israel

Company

AI-first company creating next-generation content creation technology, known for pioneering products like Facetune and the LTX-2 generative video model.

What you will do

• Build classification, scoring, and prediction models for B2B and B2C domains, including lead scoring and account health monitoring.
• Design text-based features from noisy, real-world user data where domain-specific signal extraction is critical.
• Evaluate, calibrate, and improve AI agent outputs to measure accuracy and identify failure modes.
• Lead end-to-end ML projects from business problem definition through research to production deployment.
• Apply data science solutions to solve business problems across Finance, Marketing, and Product teams.

Requirements

• M.Sc. or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of hands-on data science experience.
• Proven experience deploying NLP or text-based models into production environments.
• Strong programming skills in Python and SQL (BigQuery or equivalent).
• Experience with ML frameworks and working with both unstructured and structured data.
• Strong communication skills to present technical findings to non-technical audiences.

Nice to have

• Experience with anomaly detection or unsupervised methods.
• Experience evaluating, calibrating, or benchmarking LLM and AI agent outputs.
• Fine-tuning or RAG production experience.

Culture & Benefits

• Cutting-edge tools and learning opportunities including workshops and platform training.
• Car-to-go subscriptions and daily door-to-door shuttles from several locations in central Israel.
• Two chef-led onsite restaurants by the Machneyuda Group and an onsite bakery.
• Collaborative environment focused on deep tech and creative energy without "buzzword culture".