Senior Applied Data Scientist

Deepchecks is the trust layer backbone for the Generative AI revolution, building the critical testing infrastructure needed to enable the next generation of AI: Agentic Systems. We provide an end-to-end platform that goes beyond simple metrics to evaluate complex, multi-step LLM workflows. Our technology employs a swarm of specialized evaluation agents to validate complex AI workflows and isolate the root cause of errors. We empower organizations to solve the "black box" problem, ensuring their agents are reliable, safe, and hallucination-free from the first prototype to high-scale production.

About the Role

As a Senior Applied Data Scientist, you will drive the architectural and algorithmic strategy for our core evaluation engine. You will collaborate closely with our engineering and product teams, and take ownership of complex technical challenges, designing solutions that are contextually efficient, robust, and scalable. You will play a key role in defining our algorithmic roadmap, ensuring our logic is optimized to handle the complexities of modern LLM applications.

Required Qualifications

• Experience communicating complex technical concepts to non-technical stakeholders (Product, Sales, Leadership) and influencing roadmap decisions.
• Proven ability to take vague, high-level requirements and break them down into actionable technical roadmaps.
• M.Sc. in Computer Science, Mathematics, Physics, or a related quantitative field (Ph.D. is a plus).
• At least 6 years of industry experience in Machine Learning or Data Science.
• Strong proficiency in Python and the data science stack (e.g.pandas, scikit-learn, pytorch/tensorflow).
• Experience with NLP, Large Language Models (LLMs) and agentic frameworks – A Big Plus.
• Ability to write high-quality, production-grade code and work within a software engineering workflow (CI/CD, code reviews, testing).
• Fast learner with a passion for solving hard algorithmic problems.
• Results-oriented mindset, can-do attitude, and a focus on delivering impact and value.