Data Scientist

• Lead applied AI projects from concept to impact — prototype, validate, and help teams deploy practical ML and GenAI solutions.
• Collaborate cross-functionally: Partner with product, engineering, and research teams to scope problems, identify opportunities, and co-develop solutions.
• Act as an internal consultant: Advise teams on ML/AI best practices, model evaluation, and productive use of generative technologies.
• Design robust experiments and establish evaluation pipelines for model reliability, accuracy, and business impact.
• Bridge research and production: Package research insights into usable APIs, tools, or workflows for other teams.
• Explore new techniques (e.g., LLMs, embeddings models, retrieval-augmented generation, agentic workflows) to enhance developer and security experiences.
• Share knowledge and mentor peers, helping elevate the organization’s AI literacy and capabilities.

Senior Data Scientist

AVP, SOX Testing Analytics Lead – India

Clinical Data Manager

Senior Data Scientist

Senior Data Scientist