AI Data Scientist

AI Data Scientist page is loaded## AI Data Scientist locations:
Cambridge (US), Massachusetts, United Statestime type:
Full time posted on:
Posted Yesterday time left to apply:
End Date:
February 19, 2026 (6 days left to apply) job requisition :
571492### Job Title

AI Data Scientist###

Job Description
** AI Data Scientist, Acute Care Informatics (Cambridge, MA)
** Drive real-world impact in healthcare by building and deploying advanced machine learning and generative artificial intelligence solutions that power Philips’ Connected Care portfolio and improve patient outcomes across global clinical environments.
** Your role:
*** Design, develop, deploy, and continuously improve machine learning and generative artificial intelligence algorithms that support clinical care, patient management, and customer analytics across Philips Connected Care solutions.
* Partner closely with clinicians, epidemiologists, product managers, and software engineers to translate clinical needs into scalable, production-ready analytics and decision support capabilities.
* Build high-quality, compliant software by contributing hands-on code aligned with quality management system processes and regulatory requirements.
* Contribute to scientific evidence generation, including abstracts, patents, and manuscripts, and support interactions with regulatory bodies as needed.
* Share knowledge and best practices with product development and professional services teams through training and collaboration across international markets.
** You're the right fit if:
*** You’ve acquired 3+ years of hands-on, industry experience applying machine learning techniques (e.g., classification, regression, clustering, reinforcement learning, dimensionality reduction) as an individual contributor in production environments.
* Your skills include strong proficiency in Python machine learning frameworks, experience with at least one major programming language (e.g., C#), familiarity with version control systems, and experience building big data pipelines and cloud-based solutions. (Bonus: experience with Amazon Web Services machine learning environments such as Sage Maker, and working in Agile/Scrum teams.)
* You have a PhD in Computer Science, Engineering, Informatics, Physics, Mathematics, or a related quantitative field.
* You’re a collaborative, patient-first problem solver with strong communication skills in English and comfort working with regulated healthcare data environments. (Bonus: experience with healthcare data standards such as Fast Healthcare Interoperability Resources and Health Level Seven.)
* You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this .
** How we work together
** We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.

This is an office role.
** About Philips
** We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.
* Learn more about .
* Discover* Learn more about
* Learn more about
** Philips Transparency Details
** The pay range for this position in (MA) is $110,880 to $177,408

The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.  In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered.  Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more.  

Details…