Staff Data Scientist

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 identified. What you will need- Required- Bachelor's Degree in data science, computer science, mathematics, statistics, or related field with applicable data science work experience. And Master's Degree or PhD in Data Science or quantitative discipline preferred. Experience- 7 years - 10 years Expert proficiency in at least one programming language central to AI and Data Science (e.g. Python). Familiarity with AI automation platforms and cloud-based native tools such as data storage, distributed computing, business intelligence, and infrastructure as code (Power BI, Azure, Fabric etc.). Preferred- Proficient in at least two statistical techniques (e.g. time series modelling, classification, computer vision); in identifying the most appropriate statistical tool for a particular use case and project. Familiarity with a variety of visualizations (e.g. correlation heat maps, bubble charts) and demonstrate financial acumen to develop financial impacts for existing projects and evaluating new opportunities Nice to have: Microsoft Azure or Fabric data science/ AI related certifications here. Travel Percentage: 10% Stryker is one of the world’s leading medical technology companies and, together with its customers, is driven to make healthcare better. We offer innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes. We are proud to be named one of the World’s Best Workplaces! For more information, visit: www.stryker.com Work Flexibility Remote – Role allows you to work the majority to 100% of time from an alternate workplace. These roles could have travel expectations, and you must work within the country of the job requisition location. Field-based – You can expect to regularly work a majority to 100% of time at customer facilities and has a set territory or expectation to travel within a set boundary. Almost all sales roles would likely be qualified as field-based. Onsite – Role is 100% located at a Stryker facility. Some ad hoc flexibility may be available depending on role, level, and job requirements. Manufacturing roles and any role that requires physical presence at the office would qualify under this category. Hybrid – You can expect to regularly work in both an alternate workplace and a Stryker facility. Roles that are partially remote or co-located would qualify as hybrid, and the expectation to be onsite would be defined and agreed upon by your manager/supervisor.