Senior Data Scientist, Digital Product Owner

We need to output HTML fragment with sections: About the role, Responsibilities, Qualifications (maybe split into Required and Preferred? The instruction: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We should include sections only if posting has real content. We have About The Role, Responsibilities, Qualifications (both required and preferred). Also we have Work model, sponsorship, relocation info (maybe could be part of About the role? But it's separate: "Work model, sponsorship, relocation:" could be considered part of About the role? It's not a heading; we could include it as a paragraph under About the role or maybe a separate section like "Work Model". But the allowed headings list does not include Work Model; we could embed within About the role. Also we have Pay: The posting says "The anticipated annualized base amount or range for this full time position will be $ to $, plus variable compensation..." That's basically no actual numbers; it's placeholder "$ to $". According to instruction: never emit a heading followed by filler/placeholder text (e.g., "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. Since the pay is placeholder with no actual numbers, we should NOT create a Pay section. Similarly schedule: they mention hybrid work model requiring at least three days per week. That's schedule info. Should we create a Schedule section? The posting states schedule: hybrid work model requiring employees to be in local office at least three days per week. That's specific. So we could create a Schedule section with that detail. However the instruction says "Prefer a few substantive sections over many thin ones." Could embed schedule within About the role or Responsibilities? Probably better to have a Schedule section because it's concrete. But we need to check if we have any other schedule info: also mention relocation assistance not available, sponsorship not offered. Those could be part of Work model etc. Could be included in About the role or a separate "Work Model" but not in allowed headings. Since allowed headings include Schedule, we can use that. Benefits: Not mentioned specifically besides variable compensation and core/optional benefits link. No detail. So we should not create Benefits section. Requirements: The posting has "Qualifications" with Required and Preferred. Could treat as Qualifications section with subpoints. Could also split into Requirements and Preferred Qualifications but we only have Qualifications heading allowed. We'll make a Qualifications section with two sub-sections? Not required; we can just list required and preferred as separate

maybe with headings inside? But we cannot add extra headings beyond

. Could use

to label "Required qualifications:" and then

. Similarly for Preferred. We must not repeat job title as heading. No Job ID/requisition numbers as headings; we can drop them or put in a short

. We'll drop. We must remove boilerplate: EEO, legal, etc. Remove duplicated lines. We need to preserve all substantive information. Let's extract substantive content: - Additional Location(s): list of locations. This is metadata; could be a short paragraph. Not a heading. - Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance (values). Could be a short paragraph. - At Boston Scientific, we’ll give you the opportunity ... (mission). Could be part of About the role? Actually it's generic company description; could be included in About the role or maybe a separate paragraph before About the role. We'll include as a paragraph under About the role? The About the role section currently starts with "About The Role Boston Scientific was recognized by Forbes...". We'll keep that. - About The Role: includes Forbes recognition, Glassdoor, role description. - Work model, sponsorship, relocation: hybrid work model 3 days/week, no sponsorship, no relocation assistance. - Your Responsibilities Will Include: list of responsibilities (bulleted sentences). We'll convert each sentence to

• . - Qualifications: Required qualifications list (bulleted). Preferred Qualifications list. - Requisition ID: we can drop or put in a short p. - Pay: placeholder; we skip. - For MA positions: law about lie detector test. That's a legal statement; maybe we should keep as it's substantive? It's a legal requirement specific to MA. It's not boilerplate? It's a statement about MA law. Could be kept as a paragraph under Qualifications? Probably better to include as a note under "Additional Information" but we don't have heading for that. Could add a

  after Qualifications. - Company description about transforming lives, etc. That's boilerplate? It's generic but maybe we keep as part of About the role? It's after the responsibilities and qualifications. It's more about company. Could be included as a paragraph under About the role or after. We'll include as a paragraph under About the role after the initial description. - Prohibited substance free workplace, Va. Code notification, COVID-19 vaccination proof requirement for certain positions, drug test for safety-sensitive role. These are legal/requirements. Might be considered substantive. We'll include as a paragraph under "Additional Information" but we don't have heading. Could add a

  after Qualifications. We need to avoid duplication. Let's craft HTML:

  About the role

  Boston Scientific was recognized by Forbes as one of the Best Workplaces for Engineers in 2026, reflecting a culture where engineers do meaningful work. Boston Scientific was recognized as a Glassdoor Best Place to Work in 2026, ranking No. 15 on the Top 100 list, reflecting the culture our employees experience every day.

  Boston Scientific is seeking an experienced Senior Data Scientist, Digital Product Owner to work with the Global Quality team to help execute the strategy, development and delivery of enterprise-scale data products that enable data-driven decision-making across Global Quality, Regulatory, Manufacturing, Supply Chain and Commercial functions. This role combines the technical depth of a data scientist with the strategic leadership of a product owner. As the voice of the business for a portfolio of analytics and AI-enabled products, you will help define product vision, roadmaps and priorities while partnering with data engineering, architecture, quality and business teams to deliver scalable solutions on modern cloud platforms. You will transform complex business challenges into trusted data products, advanced analytics capabilities and AI-driven insights that improve operational performance, quality outcomes, compliance and customer experiences. This role serves as a bridge between business stakeholders and technical delivery teams, helping ensure investments in data and AI create measurable business value.

  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.

  Additional locations: US-CA-Valencia; US-IN-Spencer; US-MA-Marlborough; US-MN-Arden Hills; US-MN-Maple Grove.

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

  Responsibilities

  • Partner with business leaders to identify high-value opportunities and translate them into actionable product requirements.
  • Define and prioritize user stories, acceptance criteria and delivery milestones using Agile methodologies.
  • Support product planning activities and communicate roadmap progress, risks, dependencies and outcomes to senior leadership.
  • Establish product KPIs and success metrics focused on adoption, business value, data quality and operational impact.
  • Establish and govern trusted enterprise data products by executing metadata standards, data contracts and governance controls while ensuring compliance with quality, privacy, security, regulatory, data integrity, cybersecurity and responsible AI requirements.
  • Partner with Data Engineering to design scalable, governed data products by defining end-to-end data architecture requirements and leveraging modern platforms to enable trusted self-service analytics, AI-driven insights and continuous improvements in performance, reliability, scalability and cost efficiency.

  Qualifications

  Required qualifications:

  • Bachelor's degree in data science, computer science, information systems, engineering, statistics, mathematics or a related discipline.
  • Minimum of 5 years' experience in data science, analytics, data products, digital transformation or related fields.
  • Proven experience leading cross-functional initiatives involving business stakeholders, data engineering teams and technical delivery organizations.
  • Strong experience working within Agile delivery frameworks and product management practices.
  • Exceptional communication, stakeholder management, facilitation and strategic thinking skills.
  • Experience operating in highly regulated environments, such as medical devices, health care, life sciences or manufacturing.

  Preferred qualifications:

  • Master's degree in data science, computer science, statistics, analytics, business, engineering or a related discipline.
  • Certified Scrum Product Owner (CSPO), SAFe Product Owner/Product Manager, Project Management Professional (PMP) or equivalent certification.
  • Experience leading enterprise data domains or data product portfolios.
  • Experience implementing AI and generative AI solutions in regulated environments.
  • Experience supporting Quality, Manufacturing, Regulatory, Commercial or Supply Chain analytics initiatives.
  • Demonstrated success delivering enterprise-scale data modernization programs.

  Schedule

  This role follows a hybrid work model requiring employees to be in the local office at least three days per week.

  Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Relocation assistance is not available for this position at this time.

  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 maintains a prohibited substance free workplace. Pursuant to Va. Code 2.2-4312 (2000), Boston Scientific is providing notification that the unlawful manufacture, sale, distribution, dispensation, possession, or use of a controlled substance or marijuana is prohibited in the workplace and that violations will result in disciplinary action up to and including termination.

  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 testing requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a drug test as a pre-employment requirement. The goal of the drug testing is to increase workplace safety in compliance with the applicable law.

  We must ensure we didn't include Pay/Benefits sections. We didn't. Check for any filler: we didn't include "commensurate with experience". Good. We included schedule section with concrete detail. We included additional locations paragraph. We kept company description. We removed Job ID line. We kept requisition ID? We dropped it. Could include as short p but instruction says do NOT put Job ID/requisition numbers as headings — fold minor metadata into a short

  or drop it. We dropped it; that's fine. We kept the MA lie detector law. We