Digital Customer Engagement AI Data Scientist

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.

The IT Data Architect designs, creatse, deploys and manages an organization's data architecture
• Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements, and aligns with enterprise strategy and related business architecture
Key Responsibilities

AI & Data Science

• Design, build, and deploy machine learning and AI models (predictive, prescriptive, and generative) to solve real business problems.
• Apply advanced statistical, ML, and deep learning techniques to structured and unstructured data.
• Develop and maintain end-to-end data science pipelines , from data ingestion and feature engineering to model training and evaluation.
• Collaborate with data engineering teams to ensure scalable, reliable, and well-governed data foundations.

Production & MLOps

• Operationalize AI solutions using MLOps best practices (model versioning, monitoring, drift detection, retraining).
• Ensure AI models meet enterprise requirements for performance, robustness, security, and maintainability .
• Support cloud-based AI platforms (e.g., Azure-based ML environments) used across the organization. [JD _ data...automation | Word]

Responsible & Compliant AI

• Embed ethical AI principles , transparency, and governance into model design and deployment.
• Ensure compliance with internal AI governance frameworks and applicable regulations (e.g., data privacy, AI risk management).
• Act as a trusted advisor on responsible AI usage for stakeholders.

Business & Stakeholder Collaboration

• Translate business needs into data science problem statements and measurable success criteria.
• Communicate complex analytical results clearly to non-technical audiences.
• Partner with product owners, process owners, and IT leaders to drive adoption and value realization.

Required Qualifications

• Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, AI , or a related field.
• Strong hands-on experience with Python and common data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch/TensorFlow).
• Solid understanding of machine learning algorithms , model evaluation, and statistical methods.
• Experience working with SQL and large-scale datasets.
• Practical experience deploying models in production or near-production environments.

Preferred Qualifications

• Experience with cloud-based data & AI platforms (e.g., Azure Machine Learning, Databricks, Snowflake).
• Familiarity with Generative AI / LLM use cases , prompt engineering, or vector databases.
• Exposure to enterprise data governance and regulated environments.
• Experience collaborating in cross-functional, global teams.
• Previous work in highly regulated environments specific to healthcare and healthcare medical technology.

Career Path

This role can evolve into Senior AI Data Scientist , AI Product Lead , Principal Data Scientist , or Data & AI Architecture / Strategy roles , depending on strengths and interests.

* Develop strategies for data acquisitions, archive recovery, and implementation of a database
* Clean and maintain the database by removing and deleting old data with the help of the team(s)
* Define how data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or processing that data in some way
* Set data architecture principles, create models of data that enable the implementation of the intended business architecture, create diagrams showing key data entities, and create an inventory of the data needed to implement the architecture vision
* Ensure compliance to Q, ISEC and DP regulations

Who we are : We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.

How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

To find out more about Siemens Healthineers businesses, please visit our company page here.

The base pay range for this position is:

$143,900 - $197,868

Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company's plan. Commissions are based on individual performance and/or company performance.


The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan. life insurance, long-term and short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time.

Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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Reasonable Accommodations: Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations.

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