Machine 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.

As a Data Scientist in the Varian Intelligent Data Analytics (ViDA) team, you will play a critical role in transforming how we use data to improve patient experience and support the successful introduction and lifecycle of Varian’s NPI (New Product Introduction) portfolio. You will focus on analyzing and connecting data from patient interactions (“touches”), field services, product telemetry, and support systems to create actionable insights that inform clinical workflows, product reliability, service strategies, and product development.

This role is ideal for a data professional passionate about real-world healthcare impact and interested in shaping data-driven strategies around cancer treatment technologies.

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.

About the Role

As a Data Scientist in the Varian Intelligent Data Analytics (ViDA) team, you will play a critical role in transforming how we use data to improve patient experience and support the successful introduction and lifecycle of Varian’s NPI (New Product Introduction) portfolio. You will focus on analyzing and connecting data from patient interactions (“touches”), field services, product telemetry, and support systems to create actionable insights that inform clinical workflows, product reliability, service strategies, and product development.

This role is ideal for a data professional passionate about real-world healthcare impact and interested in shaping data-driven strategies around cancer treatment technologies.

Key Responsibilities

• Collaborate with business stakeholders, clinical experts, and cross-functional data teams to understand analytical needs around patient touchpoints and NPI products.

• Develop data models, pipelines, and analytics that provide visibility into patient interactions across the care continuum—from machine usage to service calls to software updates.

• Analyze structured and unstructured data sources, including service logs, telemetry data, Salesforce, and clinical systems, to surface insights relevant to product performance and patient care.

• Create predictive models to support proactive maintenance, improve uptime, and reduce patient treatment interruptions.

• Build and maintain interactive dashboards (Power BI, Splunk, etc.) and automated reporting to inform product teams, engineering, and field services.

• Support go-to-market and post-launch analysis of NPI products by identifying trends, user behaviors, and operational feedback loops.

• Present findings and recommendations clearly to both technical and non-technical audiences.

• Ensure robust documentation of work, including JIRA stories, Confluence pages, and data dictionaries.

Required Qualifications

• Strong experience in data science, analytics, or machine learning—preferably within the medical device, healthcare, or high-tech manufacturing industry.

• Proficiency in SQL and Python; experience with Splunk and Power BI is highly desirable.

• Solid understanding of data modeling, predictive analytics, and statistical methods.

• Familiarity with telemetry data, field support systems, and/or patient-facing technology.

• Ability to communicate insights and technical solutions clearly and concisely.

• Experience supporting New Product Introduction (NPI) initiatives through data analysis is a plus.

• Demonstrated ability to work independently in fast-paced, less-structured environments.

Nice to Have

• Knowledge of Varian’s linear accelerator systems and service data is a strong plus.

• Experience working with data related to clinical workflows or patient care operations.

• Prior involvement in developing or evaluating ML models in healthcare or regulated environments.

• Familiarity with Salesforce data structures and integration.

We are a team of more than 71,000 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.

As an equal opportunity employer, we welcome applications from individuals with disabilities.

We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities.

Who we are: We are a team of more than 73,000 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 Healthineers’ specific businesses, please visit our company page here.

As an equal opportunity employer, we welcome applications from individuals with disabilities.

Data Privacy: We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile where you can upload your CV. Setting up a profile also lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started.

Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees.  These scammers may attempt to collect your confidential personal or financial information.  If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site.

To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes. As an equal opportunity employer, we welcome applications from individuals with disabilities.