דרושים Data Science Team Lead בתל אביב

In today's world, crime is pervasive and increasingly sophisticated, leveraging both virtual and invisible means. Traditional methods of preventing and investigating crime and terror are no longer sufficient. As technology evolves rapidly, so do the tactics of criminals, and we must keep pace. For nearly three decades, the brilliant minds at Cognyte have collaborated globally to stay ahead of technological and criminal trends, delivering leading investigative analytics software solutions that help make the world a safer place. Our commitment to doing good translates into business success, meaningful work relationships, a can-do attitude, and deep curiosity.

We are currently seeking a Data Science Team Lead to join and lead our efforts in developing an advanced co-pilot product powered by Generative AI (GenAI). This groundbreaking product is transforming user interactions with our software, providing real-time assistance, uncovering insights, and suggesting the best next actions.

As a Cognyter, you will:

• 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 our 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:

To succeed in this role, you will need:

• 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.
• A team player who is responsible, detail-oriented, and delivery-focused.