R&D Ops AI/ML Data Scientist

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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.
What You will do:


* You will implement, automate, and continuously improve Medical Device Product Development KPIs that translate strategic priorities into actionable metrics.


* You will develop, recommend, and support the implementation of data-driven solutions in partnership with Technology and Process subject matter experts.


* You will own R&D Ops Product Development data integrity by ensuring data is reliable, structured, accessible, and fit for business decision-making.


* You will interact with Product teams to understand business needs, simplify complex concepts, and convert insights into systemic and scalable solutions.


* You will provide technical subject matter expertise where needed, from conceptual design through automation and integration of recommended solutions.

What You will have:


* Experience: Proven experience extracting knowledge and insights from noisy, structured, and unstructured data.


* Skills: 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).


* Tools: Experience with Agile planning and lifecycle tools such as Jira, Azure DevOps (ADO), and Jama Connect, Snowflake


* Mindset: Agile thinker with strong business acumen, curiosity, autonomy, and the ability to thrive in a fast-paced environment.


* Education: Bachelor's degree or higher in Computer Science or a related field.

Your Expertise


* 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.


* Experience or exposure to digital transformation initiatives, including tooling architecture, is desire...