Data Scientist 2

Benefits

Additional Information

The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health. We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us. Meet the team: As the Analytics Engineer within the R&D Engineering organization, you will be responsible for standardizing, integrating, and automating engineering data and data management practices across mechanical, electrical, and firmware engineering teams. This role focuses on transforming complex, multi‑disciplinary data into trusted, scalable analytics and business intelligence solutions. You will model and integrate diverse data types and sources, develop advanced dashboards, and enable data‑driven decision‑making across the product development lifecycle. In addition, you will play a key role in delivering AI solutions-both custom‑built and third‑party-by partnering closely with engineering, IT, and business stakeholders. Your contributions will help improve data integrity, visibility, and efficiency, enabling R&D teams to operate at scale while supporting innovation in a regulated medical device environment. Where you come in: You lead efforts to standardize and automate engineering data pipelines across mechanical, electrical, hardware, and firmware domains. You design, model, and integrate structured and unstructured data from multiple engineering and enterprise systems. You build and maintain business intelligence dashboards and analytics (e.g., Power BI, Tableau) that translate complex technical data into clear, actionable insights for R&D and leadership through visualizations and executive-level reporting. You partner with engineering and IT stakeholders to define data governance, data quality standards, and scalable data management practices. You write and maintain queries, transformations, and automations using SQL and related programming languages. You support data modeling and storage solutions using platforms such as MongoDB and relational databases. You drive the evaluation, pilot, and implementation of AI solutions, including custom models and third‑party platforms, to enhance engineering productivity and insight. You analyze and interpret engineering test and validation data using statistical methods to identify trends, variability, and performance drivers across products and systems You develop statistical models and summaries to support engineering decision‑making, trade studies, and design verification activities You collaborate cross‑functionally to identify opportunities where data analytics and AI can improve engineering processes, quality, and decision‑making. What makes you successful: You have proven experience in a data analyst or data scientist role supporting engineering, R&D, or technical organizations. You are proficient in data modeling, querying, and transformation using SQL and NoSQL technologies such as MongoDB - Desired You have strong experience developing dashboards and analytics in Power BI and/or Tableau. You are comfortable programming for data integration, automation, and analytics workflows. You understand engineering data types and workflows across mechanical, electrical, hardware, and firmware development. You have experience deploying or supporting AI and machine learning solutions, including integration of third‑party AI tools. You are a problem solver who thrives on standardizing processes, improving data integrity, and reducing manual effort. You communicate clearly and effectively, collaborating with engineers, data consumers, and leadership. You are detail‑oriented, organized, and capable of managing multiple data initiatives in a fast‑paced, regulated environment. You demonstrate an eye for process improvement, with an interest in standardization, efficiency gains, and opportunities for automation within engineering workflows. Experience with Onshape is a plus, especially in e