Senior Data Scientist

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Diversity
- Innovation
- Caring
- Global Collaboration
- Winning Spirit
- High Performance

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.

The healthcare industry is evolving rapidly, creating new opportunities to leverage predictive analytics, AI, and scalable machine learning solutions to improve commercial effectiveness and patient engagement. Boston Scientific is seeking a Data Scientist, Manager, to serve as a technical leader within the Marketing Analytics and Data Science organization, partnering closely with business units, marketing, IT, and data engineering teams to transform complex healthcare and commercial data into scalable, production-ready AI solutions.

The ideal candidate combines deep expertise in machine learning, forecasting, AI productization, and MLOps with strong business acumen and communication skills. This individual will help shape Boston Scientific’s enterprise AI and predictive analytics capabilities by building scalable, reusable, and activation-ready solutions that accelerate data-driven decision-making across the organization.

The role will report to the Associate Director, Marketing Analytics & Data Science.

At Boston Scientific, we value collaboration and synergy. This role follows hybrid work model, requiring employees to be in our local office three days per week.

Relocation assistance is not available for this position at this time.

• Define and lead the predictive analytics and forecasting strategy, including the development, deployment, optimization, and scaling of advanced models that support Commercial Strategy, Customer Engagement, Market Expansion, and Strategic Business Planning.
• Architect and operationalize machine learning solutions including Propensity, Customer Churn, Lead Scoring, Customer Lifetime Value, Account/Physician Segmentation, and Forecasting models across multiple business units, franchises and products.
• Develop scalable forecasting and predictive intelligence frameworks leveraging Commercial, Claims, Media, CRM, and external datasets to improve business planning and decision-making.

• Lead the vision, design, and delivery of AI-enabled products and self-service analytics platforms that improve insight accessibility, workflow efficiency, and enterprise decision‑making.
• Develop and operationalize GenAI and LLM‑powered applications, including conversational analytics interfaces, automated insight generation, metadata enrichment, intelligent recommendation systems, and AI‑assisted decision support tools.
• Establish enterprise AI product frameworks, governance standards, and scalable operating models to accelerate AI adoption, ensure responsible AI usage, and support long‑term platform scalability.

• Design and implement scalable MLOps frameworks and AI infrastructure to automate model training, validation, deployment, monitoring, retraining, and lifecycle management processes.
• Partner closely with Data Engineering, BU analytics, and IT teams to improve AI/ML deployment efficiency, reduce operational cycle time, and establish scalable and repeatable delivery processes.
• Define and champion best practices for model governance, reproducibility, monitoring, version control, documentation, and AI lifecycle management to improve scalability, reliability, and enterprise AI maturity.

• Apply advanced statistical, Machine Learning, forecasting, optimization, and experimentation methodologies to solve complex commercial and healthcare business challenges.
• Integrate predictive intelligence into marketing, GTM activation, personalization, experimentation, and strategic business planning processes.
• Evalua…