Senior Staff Data Scientist - Neurotechnology page is loaded## Senior Staff Data Scientist - Neurotechnologylocations: Cork, Irelandtime type: Full timeposted on: Posted Todayjob requisition id: R563955Work Flexibility: Hybrid**This is a hybrid, 18 month fixed term maternity leave contract role based in Carrigtwohill, Cork.****This role does not meet the criteria to allow Stryker to sponsor a Critical Skills work permit. Candidates must be resident in the Republic of Ireland and eligible to work for the full duration of the contract**You will work closely with technical and business leads representing a diverse and robust array of surgical instrumentation, including imaging, visualization, navigation, robotics, and various powered smart instrumentation. You will partner closely with a global R&D team, multi-disciplined OR clinical teams and marketing as we collectively advance neurosurgery and transform the lives of patients. You will: • Provide hands on data engineering to extract valuable insights from Stryker’s connected Neurotechnology ecosystem, enabling data informed clinical performance, product design, and operational support. • Design and implement scalable, production grade data pipelines to support both clinical and operational use cases. • Optimize data ingestion, processing, reliability, and performance to meet the evolving digital demands of the future Neuro Operating Room. • Develop and validate proof-of-concepts and prototype applications to assess feasibility, demonstrate value, and directly inform the Neurotechnology data strategy. • Partner with data, cloud and front-end application engineers to evolve prototypes into reliable enterprise-ready solutions. • Work within Python based data science workflows and enterprise platforms on the Stryker Health Cloud, collaborating closely with advanced R&D, marketing, and external stakeholders. • Write clean, efficient, and well documented Python code for data modelling, data processing, feature engineering, analytics, and visualization supporting next generation neurotechnology products. • Collaborate across disciplines to deliver actionable data-driven insights that drive clinical innovation and operational excellence. Skills needed: • Strong proficiency in Python for data collection, analysis, and data pipeline architecture with an emphasis on scalability.• Proficiency with data visualization standards and tools with a focus on clarity, usability and insight generation. • Ability to ideate and identify, evaluate and integrate novel data sources and explore their potential value in developing clinical insights • Solid foundation in software engineering, electrical engineering, and/or systems engineering fundamentals, enabling effective collaboration across technical disciplines. • Broad, practical experience across the data lifecycle, including strong analytical and problem solving skills, with experience translating complex data into meaningful, real world impact. • Flexible, agile mindset with a systems level design approach, balancing rapid prototyping with long term scalability, reliability and organizational integration. • Bonus: Experience implementing end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and CI / CD. • Bonus: Hands-on experience with machine learning algorithms and predictive modeling in applied contexts. • Bonus: exposure to deploying optimized, real-time inference models on edge compute systems Requirements: • Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline • Experience developing data solutions in regulated or clinical environments preferred • 3-5 years of experience delivering solutions in a data architecture, data engineering or related field • Demonstrated experience designing and implementing scalable data models (relational, dimensional, NoSQL) and data warehouse systems • Hands-on experience with modern cloud data platforms (e.g., Databricks) and data governance, lineage, and compliance tooling • Proven ability to excel in cross‐functional collaboration with clinical partners, R&D, IT, and business stakeholders to translate clinical needs into robust, scalable data platform designsTravel Percentage: 10%
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