Data Science Fellow

Boston Scientific•Maple Grove, MN

9d•$122,100 - $232,000•Hybrid

About The Position

At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. About this role: Boston Scientific is seeking a Data Science Fellow to serve as a senior technical and strategic leader supporting the global organization. This role is responsible for driving the adoption of artificial intelligence, advanced analytics, and data science across diverse functions and business areas in Boston Scientific. This role will help lead the integration and application of AI and data strategies with high-value insights that inform strategy, accelerate innovation, and enhance operational performance. As a recognized expert and trusted advisor, the Fellow partners with senior leaders worldwide to shape the company's long-term vision for AI and analytics. They champion responsible, scalable, and impactful data-driven solutions that strengthen decision-making, improve efficiency, and create new opportunities for value and competitive advantage across the enterprise. At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office (3) days per week.

Requirements

Bachelor's degree in engineering, statistics, data science, or related field
Minimum of 10 years of professional, industry experience pioneering technology advancement, ideally (but not needed to be exclusively) in data science, AI/ML, or advanced analytics initiatives in a complex, global, or regulated environment
Strong understanding of AI governance, model lifecycle management, data quality, and ethical AI considerations
Expertise with modern ML/AI platforms, architectures, and data ecosystems; ability to evaluate emerging tools and technologies
Experience working with large datasets and accessing and combining data across multiple systems
Demonstrated success driving organizational adoption of technologies and shaping long-term data and digital strategy at an enterprise level
Proven ability to influence without authority and align diverse global stakeholders, including executives, technical teams, and operational leaders
Ability to interface effectively with internal stakeholders and senior leadership
Exceptional storytelling and communication skills, with the ability to simplify complex concepts for non-technical audiences

Nice To Haves

Master's degree in data science, computer science, engineering, statistics, biomedical informatics, or related quantitative field
Strong global mindset with experience collaborating across cultures, geographies, and disciplines
Track record of delivering high-impact business solutions that drive measurable business value

Responsibilities

Shape and lead the enterprise AI and data science strategy, aligning technology investments and analytical capabilities with long-term business priorities and innovation goals
Accelerate adoption of AI, ML, and data-driven tools across global engineering, manufacturing, clinical, quality, supply chain, commercial, and operational teams
Identify high-impact opportunities for AI-enabled value creation, partnering with leaders to scope use cases, define success criteria, and guide end-to-end execution
Influence decision-making at senior levels by presenting clear, compelling analytical strategies; capability roadmaps; and business cases that illustrate value and risk
Build organizational readiness for data solutions through change leadership, cross-functional alignment, and development of standards for data governance, model validation, and ethical AI
Develop enterprise-level frameworks for data architecture, model deployment, and scalable analytics platforms in collaboration with IT, data engineering, and digital teams
Serve as the company-wide expert and internal consultant for emerging AI and Data Science technologies, advanced modeling approaches, and modern analytical methodologies
Engage and lead global networks and partnerships with academic institutions, AI vendors, research collaborators, and cross-industry consortia to stay ahead of emerging trends
Mentor and elevate analytical talent across teams, building a strong community of practice and enhancing analytical capabilities globally
Communicate complex concepts with clarity, enabling executives and functional leaders to understand and confidently support AI-driven initiatives
Drive enterprise impact by ensuring AI and data science solutions are implemented responsibly, deliver measurable outcomes, and support patient safety and product innovation