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Additional Location(s): US-MN-Arden Hills; US-MA-Marlborough
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:
Boston Scientific is seeking an experienced Principal Data Scientist within the IT organization. This individual will have a unique opportunity to work across internal function and division teams on ML/AL/GenAI initiatives for the enterprise. This individual will have both a hands-on and strategic role in data science efforts and will also help to mentor a team of data scientists accelerating advanced analytics and artificial intelligence at Boston Scientific.
Your responsibilities will include:
- Develop predictive and diagnostic algorithms to support Digital Health initiatives through collaboration and physical or virtual collocation with a Digital Health application product development team
- Assess internal data and processes to determine opportunities for application of advanced analytics to support internal business operations
- Develop advanced analytics capabilities to improve internal business efficiencies
- Collaborate with leadership on development and execution of advanced analytics strategic and tactical road maps
- Train junior data engineers and data scientists on advanced analytics tools, models, artificial intelligence, etc.
- Analyze the artificial intelligence needs of functional departments, divisions and regions and make recommendations for implementing AI solutions to support functional initiatives
- Promote and support the principles and standards of the enterprise architecture and enterprise-supported technologies
- Collaborate with Data Architects, Data Engineers and Product Managers to contribute to the overall data modeling strategy and information flow decisions
- Promote simplified integrations and AI solutions with a business-process-first approach
- Support the development of integration systems throughout the Software Development Lifecycle according to the IT methodology, department SOP’s, and team guidelines
- Assist in maintaining validated systems within the advanced analytics scope in accordance with internal software validation procedures and compliance to external controls such as GDPR, HIPAA, etc.
- Oversee and provide guidance for solutions to complex technical problems by challenging traditional technical assumptions
- Identify innovative uses of Information Technology to provide a competitive advantage in healthcare analytics for Boston Scientific
- Stay up-to-date with emerging business problems and how the industry is using AI/ML techniques
- Participate and take lead role in enterprise communities of practice for analytics, AI, ML, etc.
Required qualifications:
- Master’s level degree in engineering, statistics, mathematics, or data science with 5+ years of professional experience
or
- Bachelor’s level degree in engineering, statistics, mathematics, or data science with 7+ years of professional experience
- Expert in math and statistics with demonstrated ability using data to make intelligent business predictions and continually improves the way the company uses data
- Experience mentoring or leading junior data scientists or teams with data engineering roles
- Experience with agile methodology, design thinking, and lean startup approach
- Able to explain findings (statistical and analytical) to business partners and what they mean from business perspective, defines business value
Preferred qualifications:
- Experience with healthcare algorithms, their implementation and integration into healthcare systems and workflows
- Strong communication skills and ability to interact with business stakeholders at varying levels in the organization
- Able to understand/define business problem statements clearly
- Multiple domain specialties in data and analytics
- Understands statistical and ML/AL algorithms and how different parameters impact outcomes
- Working knowledge of emerging cloud AI platforms and vendor’s analytics offerings
- Have broad experience and expertise working with various technologies such as Python, SQL, R, SAS, AWS Sagemaker, Snowflake, Fiddler, Microsoft Azure,Tableau and other frameworks and libraries for AI
- Able to work on a team in person and in a collaborative virtual setting; self-motivated, self-directed, adaptable
- Proven experience working in a regulated environment with quality systems which includes strong documentation skills, experience with Software-as-a-Medical Device a plus
- Experience with software development life cycle, Waterfall, Agile and Dev/Ops methodologies
Requisition ID: 591766
As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen.
So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!
At Boston Scientific, we recognize that nurturing a diverse and inclusive workplace helps us be more innovative and it is important in our work of advancing science for life and improving patient health. That is why we stand for inclusion, equality, and opportunity for all. By embracing the richness of our unique backgrounds and perspectives, we create a better, more rewarding place for our employees to work and reflect the patients, customers, and communities we serve.
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 identify, gender expression, veteran’s status, age, mental or physical disability, genetic information or any other protected class.
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.
Nearest Major Market: Minneapolis
Job Segment: Information Technology, IT Architecture, Cloud, Data Modeler, Medical Device, Technology, Data, Healthcare