• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments • Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights • Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes • Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. • Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward that are grounded in data. • Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments • Translate complex concepts into implications for the business via excellent communication skills, both verbal and written • Understand what matters most and prioritize ruthlessly • Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

• As a Data Scientist specializing in medical document analysis, you will work at the forefront of healthcare NLP. • You will design, implement, and evaluate advanced natural language understanding (NLU) systems that interpret complex clinical text and support data-driven medical decision making. • This includes developing models grounded in transformers, generative AI, and research-oriented neural architectures. • You will collaborate closely with clinical domain experts, fellow data scientists, ML engineers, and product teams to bring research prototypes into production systems. • You will explore new modeling approaches, optimize training pipelines, and contribute to the long-term direction of Solventum’s deep learning portfolio.

• Coaching a team of ~20 data specialists across three teams: Product Platform Data, Infrastructure Data, and Central Data Science • Partnering closely with Platform and Infrastructure Engineering leaders to shape and execute Canva’s Platform and Infrastructure data strategy • Responsible for overseeing the data science roadmap of core data infrastructure such as Canva's Experimentation Platform • Driving technical excellence and championing data-informed decision-making around platform performance, system reliability, and developer productivity • Leading analytics projects that influence how Canva builds scalable systems to serve billions of users • Enabling strategic investments in AI and advanced analytics to improve cost optimization, capacity planning, and system observability • Owning project prioritisation and capacity planning across three highly specialized and interconnected data teams

• Coaching a team of ~20 data specialists across three teams: Product Platform Data, Infrastructure Data, and Central Data Science • Partnering closely with Platform and Infrastructure Engineering leaders to shape and execute Canva’s Platform and Infrastructure data strategy • Responsible for overseeing the data science roadmap of core data infrastructure such as Canva's Experimentation Platform • Driving technical excellence and championing data-informed decision-making around platform performance, system reliability, and developer productivity • Leading analytics projects that influence how Canva builds scalable systems to serve billions of users • Enabling strategic investments in AI and advanced analytics to improve cost optimization, capacity planning, and system observability • Owning project prioritisation and capacity planning across three highly specialized and interconnected data teams