R&D Ops AI/ML Data Scientist
About The Position
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. Varian Medical Systems, a Siemens Healthineers company is hiring for an R&D Ops Data Scientist, and you will help transform strategic digital health and quality priorities into actionable data, metrics, and business solutions. This role sits within the R&D Operation group and partners closely with Technology and Process subject matter experts, Design QA, Product teams, and business stakeholders. The position plays a key role in driving a data-driven culture by identifying important questions, collecting and organizing relevant data, extracting meaningful insights, and translating findings into scalable solutions that positively impact the business.
Requirements
- Proven experience extracting knowledge and insights from noisy, structured, and unstructured data.
- Ability to simplify, streamline, and automate processes using a data-first, customer-centric approach.
- Advanced AI/ML skillset a must (Core ML, Deep Learning, GenAI and Agentic AI).
- Experience with Agile planning and lifecycle tools such as Jira, Azure DevOps (ADO), and Jama Connect, Snowflake
- Agile thinker with strong business acumen, curiosity, autonomy, and the ability to thrive in a fast-paced environment.
- Bachelor's degree or higher in Computer Science or a related field.
- Strong ability to identify important business questions and determine the data needed to answer them.
- Experience collecting, storing, organizing, and analyzing data from multiple sources to generate actionable insights.
- Ability to digest complicated concepts and simplify them into understandable, systemic solutions.
- Clear communication and social skills, with the ability to interact effectively with teams and management.
- High-energy, can-do attitude with an Agile mindset and enthusiasm for the vision of a world without fear of cancer.
- Coachable, curious, open-minded, and able to listen, learn, and adapt quickly.
Nice To Haves
- Experience or exposure to digital transformation initiatives, including tooling architecture, is desired.
- Experience or exposure to continuous improvement initiatives is desired.
- Knowledge of Quality Management System (QMS) and product lifecycle processes desired.
- LEAN or Agile development exposure is preferred.
- Experience in the Medical Device or Pharma industry, with SaMD or Digital Health exposure considered a plus.
Responsibilities
- Implement, automate, and continuously improve Medical Device Product Development KPIs that translate strategic priorities into actionable metrics.
- Develop, recommend, and support the implementation of data-driven solutions in partnership with Technology and Process subject matter experts.
- Own R&D Ops Product Development data integrity by ensuring data is reliable, structured, accessible, and fit for business decision-making.
- Interact with Product teams to understand business needs, simplify complex concepts, and convert insights into systemic and scalable solutions.
- Provide technical subject matter expertise where needed, from conceptual design through automation and integration of recommended solutions.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
