Cognyte

Data Science Team Lead

Cognyte

full-time

Posted on:

Location: 🇮🇱 Israel

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Job Level

Senior

About the role

  • Lead and mentor a team of data scientists and machine learning engineers.
  • Define the technical vision and strategy for leveraging large language models (LLMs) and advanced ML techniques to enhance the product.
  • Oversee the end-to-end ML lifecycle, from experimentation and prototyping to deployment, monitoring, and optimization.
  • Collaborate cross-functionally with development, product, and architecture teams to deliver high-quality solutions.
  • Ensure team adoption of best practices in research, experimentation, and engineering, including reproducibility, scalability, and model governance.
  • Contribute hands-on when needed: designing experiments, writing reusable code, evaluating models, and interpreting results.
  • Take an active leadership role in agile processes, design reviews, brainstorming sessions, and knowledge-sharing forums.

Requirements

  • An M.Sc. or higher in Computer Science, Mathematics, Engineering, or a related field.
  • 4+ years of hands-on experience building and deploying ML solutions.
  • 2+ years of proven leadership experience managing and growing high-performing data science or ML teams.
  • Strong expertise in Large Language Models (LLMs) and Generative AI.
  • Deep experience with ML pipelines, including training, tuning, deployment, monitoring, and model versioning.
  • Knowledge of optimization techniques such as quantization, pruning, and performance tuning.
  • Familiarity with GenAI tools and frameworks: LangChain, RAG, vector databases, transformers, vLLM.
  • Excellent communication skills with the ability to influence, inspire, and align stakeholders.
  • Team player who is responsible, detail-oriented, and delivery-focused.
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