Machine Learning Scientist Jobs in Minnesota (NOW HIRING)

Additional Location(s): US-MN-Maple Grove; US-MN-Arden Hills
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 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 Principal Data Scientist - Marketing Analytics to join our Cardiology Marketing and Digital Enablement team. This role will apply advanced analytics, statistical modeling, and machine learning techniques to solve business problems, develop marketing effectiveness models, and generate actionable insights.The Data Scientist will partner closely with cross-functional stakeholders to translate business needs into scalable analytical solutions and will support models across the full lifecycle, from problem framing through deployment, monitoring, and continuous improvement.
Work model, sponsorship, relocation:
At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local Arden Hills or Maple Grove 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.
Your responsibilities will include:

• Partner with marketing and business stakeholders to define analytical problems, success criteria, data requirements, and measurable business outcomes.
• Develop machine learning and statistical models, including approaches such as regression, classification, clustering, attribution modeling, marketing mix modeling, lead scoring, causal inference, and controlled marketing experiments.
• Support the full model lifecycle, including feature engineering, model validation, documentation, deployment support, performance monitoring, and ongoing refinement.
• Communicate insights, model outputs, and recommendations clearly to both technical and non-technical stakeholders.
• 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.

Required qualifications:

• Master's degree in data science, Statistics, Economics, Computer Science, Engineering, or a related field.
• 8+ years of experience in data science, clinical analytics, health care analytics or a related analytical role.
• Advanced proficiency in Python and SQL, with experience working in cloud-based analytics and machine learning environments.
• Experience developing statistical or machine learning models using Python and related frameworks, such as scikit-learn, statsmodels, XGBoost, PyMC-Marketing, or Google Meridian.
• Strong analytical thinking and ability to translate business problems into data-driven analytical solutions and communicate technical concepts and findings clearly to business stakeholders.
• Demonstrated ability to collaborate across business and technical teams.

Preferred qualifications:

• Experience with Snowflake or similar analytics platforms.
• Experience working with health care, medical device or other highly regulated data environments.
• Experience working with health insurance claims data, patient diagnosis data, physician notes and prescription data.
• Familiarity with MLOps and model lifecycle practices, including data preparation, feature engineering, validation, documentation, deployment support, monitoring and model maintenance.
• Experience with marketing analytics methods, such as marketing mix modeling, attribution modeling, incrementality measurement, lead scoring, targeting or campaign optimization.
• Experience working in a Fortune 500 company, particularly within regulated industries or environments involving sensitive data, such as financial services or health care.

Requisition ID: 632958
Minimum Salary: $102100
Maximum Salary: $194000
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.