PrincipalDataScientist

## Accountabilities Lead the development and deployment of advanced AI and machine learning models to solve complex business and product challenges. Define technical strategy, model development standards, and best practices across data science teams. Collaborate with engineering and product teams to design, build, and operationalize scalable AI solutions. Analyze large-scale datasets to identify meaningful patterns, trends, and opportunities for model improvement. Provide technical leadership and mentorship to junior and mid-level data scientists, ensuring high-quality outputs. Establish methodologies, frameworks, and governance standards for AI/ML development and deployment. Partner with stakeholders to align data science initiatives with business goals and customer needs. Communicate insights, technical findings, and recommendations clearly to both technical and non-technical audiences. Lead small to mid-sized teams, providing direction, structure, and execution oversight across projects. Continuously evaluate emerging AI and ML technologies to improve model performance and innovation. Requirements: 10+ years of experience in data science, AI, or machine learning roles with significant senior-level responsibility. Proven experience leading complex AI/ML projects and delivering production-grade solutions. Strong background in mentoring, coaching, and guiding technical teams in a leadership capacity. Deep expertise in machine learning techniques such as deep learning, gradient boosting, and ensemble methods. Strong experience with large language models and transformer architectures (e.g., BERT, T5, GPT-based systems). Solid understanding of prompt engineering, LLM behavior, and applied generative AI techniques. Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark, Hadoop). Strong programming skills in Python and familiarity with modern ML frameworks. Excellent communication skills with the ability to influence senior stakeho