Job description preview
From Stryker’s original posting
Work Flexibility: Hybrid What you will do- • Translate stakeholder requirements to potential AI & data science solutions independently. • Contribute to discussions on identifying opportunities where machine learning can be applied to real-world business opportunities with key stakeholders. • Support data science and AI collaboration efforts with partners across functions and teams • Build and deliver presentations and communications that explain critical functions and findings to stakeholders with some guidance. • Apply fundamental and some advanced concepts, practices and procedures for problem solving • Automate repetitive data prep, feature engineering, and model monitoring pipelines with AI-driven tools. • Explore and integrate large language models (LLMs) and generative AI solutions to accelerate exploratory data analysis, reporting, and knowledge discovery. • Partner with engineering teams to operationalize models, embedding automation into core products and processes. • Continuously evaluate and improve model performance using automated monitoring, retraining, and alerting systems • Ability to manage individual tasks with minimal guidance and flag project risks as they are…
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