.Your Responsibilities Takes ownership and drives the adoption of best practices, standards, and methodologies to maintain high-quality data science work within their assigned Advanced Analytics capability area. Conveys the message and value of their area of capabilities (e.G., AI) to the organization, influencing decision-making processes and becomes a trusted advisor for the key business stakeholders and relevant communities. Stays up-to-date with the latest advancements and innovations in their domain, actively bringing in new knowledge to enhance the team's capabilities. Evaluates and recommends new technologies, tools, and Data Science / Machine learning techniques to enhance data science processes and improve efficiency. Fosters a culture of continuous learning and growth within the team, encouraging professional development and knowledge sharing. Collaborate with stakeholders across the organization to understand their business objectives and define data-driven solutions that align with these objectives. Works closely with the Analytics Product Owners and the Cloud/Engineering team to ensure delivery of the Data Science / Machine learning part of the projects within time, cost and quality. Collaborate with external vendors, evaluating their capabilities and ensuring their alignment with data science / machine learning standards and project requirements. Continuously engage in hands-on data analysis, modeling, and prototyping DS frameworks to deliver high-quality outputs. Collaborate with cross-functional teams to define data-driven solutions that align with the organization's objectives and optimize decision-making processes. Produce high-quality code that allows the team to build scalable solutions and put solutions into production. Lead and oversee several ideation and scoping sessions with business stakeholders to determine the data needed to answer specific questions or problems related to the business. Take a lead role, and oversee, mentor, and coach others in the development, deployment, and integration of prioritized Advanced Analytics solutions in collaboration with local/regional cross-functional teams and/or external partners. Take ownership of identifying, defining, and completing required documentation, demos or presentations as needed. Oversee, conceptualize, drive and continuously refine Advanced Analytics guidelines and standards by synthesizing learnings from prioritized Advanced Analytics initiatives. Your Qualifications Master or PhD in relevant field (e.G., applied mathematics, computer science, engineering, applied statistics). At least 4-6 years of relevant working experience, ideally in pharma/healthcare/MedTech. Solid experience working on full-life cycle data science; experience in applying data science methods to business problems (experience in the financial/commercial or manufacturing/supply chain areas a plus)
