
Principal Data Scientist - Remote
- Minnetonka, MN
- $110,200-188,800 per year
- Permanent
- Full-time
- Architecture & Standards:
- Design end-to-end AI/ML architecture aligned to business and technical goals
- Develop, maintain, and enforce AI/ML architecture guidelines, standards, and comprehensive review checklists
- Keep documentation current and ensure all AI projects align with established architecture best practices and compliance requirements
- Governance & Review:
- Proactively review and assess AI solution architectures across projects
- Provide actionable feedback, coaching, and guidance to teams implementing AI/ML solutions
- Approve solution designs and ensure adherence to architecture standards before implementation
- Innovation & Prototyping:
- Stay abreast of emerging advancements in AI and machine learning, evaluating their potential through hands-on development
- Build rapid prototypes, proof-of-concepts, and accelerators to assess and demonstrate new technologies or approaches
- Publish point-of-view papers, technical blogs, and thought leadership content to guide internal and external stakeholders
- Collaboration:
- Work closely with product managers, data scientists, engineers, and other business stakeholders to drive the development and deployment of AI solutions
- Leadership & Mentorship:
- Foster a culture of excellence and continuous learning within the AI/ML engineering community
- Mentor and upskill team members in architecture best practices, new technologies, and design patterns
- Compliance & Security:
- Ensure all AI systems follow data governance, privacy standards, and ethical AI principles
- Collaborate with the Responsible Use of AI (RUAI) team to ensure that the solutions are compliant with company policies and standards
- 5+ years of hands-on experience in AI/ML, including architecting, designing, developing and deploying production-grade AI solutions using techniques such as regression, classification, and deep neural networks, with experience using frameworks like PyTorch or TensorFlow
- 3+ years of experience working with at least one major cloud AI platform (AWS, Azure, or Google Cloud)
- 2 + years of experience developing and deploying production AI solutions utilizing Generative AI, including Large Language Models, Retrieval-Augmented Generation (RAG), text embeddings, and vector databases
- 2+ years of experience with MLOps processes, including managing end-to-end machine learning deployment and monitoring
- Knowledge of Exploratory data analysis, data engineering and building data pipelines
- Understanding of data privacy, security, and ethical considerations in AI system design
- Willingness to lead and manage global teams, including teams based in India