Data Scientist

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.

We will consider qualified applicants of all ages who are starting (or restarting) their careers

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

Relocation and housing are not available for this position.

Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA for this position at this time

We are seeking a passionate and motivated Data Scientist
to support our Data & AI Commercial Data Products Team. This role will apply statistical analysis, machine learning, advanced analytics, and artificial intelligence to solve complex business problems, generate actionable insights, and develop data-driven solutions that improve Commercial decision-making and operational effectiveness.

This Data Scientist will work closely with business partners, data engineers, AI/ML teams, and other cross-functional stakeholders to identify high-value opportunities and translate business challenges into analytical solutions. The role will be responsible for exploring and analyzing complex datasets, developing predictive and statistical models, evaluating model performance, and communicating findings and recommendations to technical and non-technical audiences.

In addition to traditional data science capabilities, this role will contribute to the development of generative AI and intelligent agent solutions using technologies such as Snowflake Cortex, large language models (LLMs), and Model Context Protocol (MCP). The Data Scientist will help evaluate where these emerging technologies can complement traditional analytics and machine learning approaches to create scalable, secure, and responsible solutions.

• Partner with Commercial business teams and cross-functional stakeholders to identify and prioritize opportunities wheredata science, advanced analytics, machine learning, and AIcan address business challenges and improve decision-making.
• Translate business problems into well-defined analytical questions, hypotheses, data requirements, and measurable success criteria.
• Design, develop, and evaluate predictive and machine learning models for use cases such as forecasting, segmentation, classification, propensity modeling, optimization, and other Commercial applications.
• Perform feature engineering, feature selection, model training, validation, tuning, and performance evaluation to develop accurate, interpretable, and reliable models.
• Develop reusable analytical workflows using Python, SQL, and Snowflake to support data exploration, statistical analysis, machine learning, and AI applications.
• Collaborate with data engineers to identify data requirements, prepare analytical datasets, and ensure data used for modeling and analysis is accurate, reliable, appropriately governed, and fit for purpose.
• Develop and prototype generative AI solutions using Snowflake Cortex and large language models, including capabilities such as summarization, classification, information extraction, embeddings, semantic search, and natural language interaction with enterprise data.
• Implement and evaluate Model Context Protocol (MCP) and…