Boston Scientific Principal Data Scientist - Enterprise AI 

United States, Minnesota 

782596731

About the role:

You will also contribute to our AI vision by mentoring colleagues, shaping technical direction, and ensuring ethical, trustworthy AI practices are embedded in everything we do. This is an exciting opportunity to influence enterprise innovation and bring cutting-edge technology into real-world impact across a global organization.

Your responsibilities will include:

• Design, develop, and deploy predictive and prescriptive AI/ML models to support cross-functional business initiatives
• Collaborate with business leaders to identify valuable data assets and define impactful, enterprise-aligned use cases
• Partner with enterprise leadership to define and evolve Boston Scientific’s AI/ML and data science strategy
• Work closely with Data Architects, Data Engineers, and Product Managers to develop data pipelines, model integration, and deployment workflows
• Ensure adherence to data privacy regulations (e.g., GDPR, HIPAA) and promote ethical and responsible use of AI technologies
• Mentor and coach junior data scientists and engineers, fostering a collaborative learning environment
• Stay informed of advancements in AI/ML/GenAI and advocate for adoption through enterprise communities of practice

Required qualifications:

• Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field
• Minimum of 5 years' experience in applied data science, machine learning, or AI solution development
• Proven ability to mentor technical professionals and/or lead small teams
• Strong technical expertise in statistical modeling, machine learning techniques, and business problem solving
• Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences
• Demonstrated success in initiating and delivering enterprise data science projects in collaboration with business stakeholders

Preferred qualifications:

• Master's degree or higher in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field
• Experience applying AI/ML techniques within finance, sales, marketing, or other regulated environments
• Proficiency in Python, SQL, cloud platforms (AWS, Azure, Snowflake), and ML Ops tools
• Familiarity with Agile and DevOps methodologies for data science projects

Compensation fornon-exempt (hourly), non-sales rolesmay also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).

Compensation forexempt, non-sales rolesmay also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).

For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.