Senior Data Scientist

Additional Location(s): N/A

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.

About the role

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.

Work Mode:

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:

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

Your responsibilities will include:

Predictive Analytics & Forecasting Leadership

• 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.

AI Product Development & GenAI Enablement

• 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.

MLOps & Scalable AI Infrastructure

• 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.

Advanced Analytics & Decision Science

• 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.
• Evaluate model performance, Business Impact, and operational effectiveness through experimentation, validation frameworks, KPI tracking, and Continuous Optimization.

Cross-Functional Collaboration & Strategic Influence

• Partner with Business units, Commercial teams, Marketing, BU Analytics, IT, and executive stakeholders to identify high-impact opportunities and translate business needs into scalable AI and analytics solutions.
• Serve as a strategic thought partner by translating complex analytical findings into actionable business recommendations and executive-level insights that influence strategic decisions and investment priorities.
• Influence enterprise analytics and AI roadmap discussions through technical leadership, organizational alignment, and business impact storytelling.
• Lead complex, ambiguous, and cross-functional initiatives by aligning stakeholders, prioritizing high-value opportunities, and balancing technical feasibility with business impact.

Technical Leadership & Organizational Capability Building

• Serve as a recognized subject matter expert in predictive analytics, forecasting, AI productization, GenAI, and MLOps.
• Provide technical leadership and mentorship across the data science organization by establishing modeling standards, scalable development practices, reusable frameworks, and knowledge-sharing initiatives that elevate overall team capability.
• Drive the evolution of analytics from ad hoc solutions toward scalable, self-service, and productized AI capabilities embedded within commercial and business workflows.
• Lead and coordinate cross-functional project teams and provide guidance to analysts, data scientists, and external partners to ensure successful execution of strategic AI and analytics initiatives.

Required Qualifications:

• Minimum of 4+ years of experience in data science, machine learning, predictive analytics, AI product development, or advanced analytics roles with increasing technical and strategic responsibility.
• Master’s degree or PhD in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Economics, or a related quantitative field.
• Deep expertise in machine learning, predictive modeling, forecasting, statistical analysis, and scalable AI/ML solution development.
• Advanced proficiency in Python and SQL, with experience working in cloud-based analytics and machine learning environments.
• Proven experience developing, deploying, and operationalizing production-grade machine learning solutions and scalable MLOps pipelines.
• Demonstrated ability to lead complex, ambiguous, and cross-functional analytics initiatives that drive measurable business impact and influence strategic decision-making.
• Exceptional communication and executive storytelling skills, with the ability to translate complex analytical concepts into clear, actionable business insights that influence strategic decisions, stakeholder alignment, and enterprise adoption.

Preferred Qualifications

• Experience developing and scaling AI-enabled products, GenAI applications, and LLM-powered solutions.
• Experience with MLOps and cloud technologies such as Databricks, Snowflake, MLflow, Airflow, Docker, Kubernetes, GitLab, or related platforms.
• Familiarity with experimentation, causal inference, marketing analytics, media measurement, MMM, and MTA methodologies.
• Experience building scalable AI/ML frameworks, reusable analytics solutions, or enterprise AI capabilities.
• Strong collaboration and stakeholder management skills with the ability to influence cross-functional teams and align technical solutions with business priorities.
• Demonstrated success leading cross-functional initiatives and driving projects from concept through operationalization.
• Strong attention to detail with a focus on analytical rigor, solution quality, governance, and operational excellence.
• MBA or additional advanced business or technical certifications preferred.

Requisition ID: 632117

Minimum Salary: $ 89200

Maximum Salary: $ 169500

The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com—will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.

Compensation for non-exempt (hourly), non-sales roles may 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 for exempt, non-sales roles may 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.

Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 45 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of healthcare. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions. Learn more at www.bostonscientific.com and follow us on LinkedIn.

Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.

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.

Among other requirements, Boston Scientific maintains specific prohibited substance test requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.