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 desired. - Experience or exposure to continuous improvement initiatives is desired. - 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. Business Context - 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. #LS-OS1 The base pay range for this position is: $117,500 - $161,568 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.