Data Science Team Lead
Cognyte
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 LLMs and advanced ML techniques.
- 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 solutions.
- Ensure team adoption of best practices in research, experimentation, reproducibility, scalability, and model governance.
- Contribute hands-on: design experiments, write reusable code, evaluate models, and interpret results.
- Take 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.
