Staff-Principal Data Scientist

Who is our client?

Our client is a large-scale technology organization with a strong focus on engineering, data, and AI. They are continuing to invest in AI/ML platform capabilities that enable teams to build, operate, and scale machine learning and intelligent applications more effectively.

About the Role

This role is for a senior individual contributor who will lead the design and improvement of machine learning-powered solutions in a production environment. You will work on complex user-facing AI systems, drive experimentation and model improvement, and collaborate closely with cross-functional teams to turn ambiguous problems into practical, scalable solutions.

Responsibilities

• Lead the development and enhancement of machine learning-based solutions for complex, real-world use cases

• Translate open-ended product or user problems into clear data science approaches, experiments, and deliverable outcomes

• Design, test, and refine prompts, retrieval strategies, evaluation frameworks, and model behaviors to improve quality and reliability

• Build robust experimentation methods to assess model performance and compare alternative approaches

• Work closely with product, engineering, analytics, and other technical teams to define priorities and drive implementation

• Take ownership of solution quality across the lifecycle, from early exploration through deployment and iteration

• Use data-driven methods to identify opportunities for model improvement, user impact, and system optimization

• Contribute to the design of scalable workflows, including evaluation pipelines, monitoring approaches, and feedback loops

• Communicate findings, trade-offs, and recommendations clearly to both technical and non-technical stakeholders

• Support strategic decisions on model quality, scalability, performance, and long-term maintainability

• Provide senior-level guidance in solving ambiguous AI problems with practical and measurable outcomes

Qualifications

• Proven experience in a Staff Data Scientist, Applied Scientist, ML Engineer, or similar role, with strong ownership of end-to-end ML or LLM initiatives

• Strong hands-on experience with machine learning platforms in production settings, including experimentation, evaluation, iteration, and quality improvement

• Solid background in machine learning, statistics, and data science fundamentals

• Experience applying quantitative methods to solve complex product or system problems at scale

• Strong coding ability and practical experience working closely with software engineering teams in production environments

• Experience building or improving systems that involve prompt design, retrieval, ranking, response quality assessment, or model evaluation

• Strong understanding of experimentation design, success metrics, offline and online evaluation, and performance analysis

• Comfortable working with ambiguity and shaping loosely defined problems into structured analytical approaches

• Able to communicate complex technical ideas clearly and influence cross-functional stakeholders

• Experience operating in fast-paced, product-driven environments with high expectations for quality and execution

• Advanced degree in a relevant field such as Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related quantitative discipline is preferred

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