Data Scientist 2 (Product Intelligence)

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: The Manufacturing Analytics team partners with Manufacturing, Quality, Engineering, R&D, and Operations teams to transform data into actionable insights that drive process improvements, operational efficiency, and informed business decisions. The team leverages data science, statistical analysis, cloud technologies, and visualization tools to support critical manufacturing and business initiatives across the organization. Where you come in: You will analyze manufacturing, process, quality, and operational data to identify trends, risks, opportunities, and performance improvement recommendations. You will use Python, SQL, and cloud-based data platforms to extract, transform, analyze, and visualize large datasets. You will develop statistical, predictive, and analytical models to support manufacturing process understanding and operational decision-making. You will create Tableau dashboards and reports that communicate key metrics, analytical findings, and business insights to stakeholders. You will perform exploratory data analysis, data mining, and root cause investigations to support process optimization initiatives. You will gather business requirements and translate business challenges into analytical questions, data requirements, and actionable solutions. You will write and optimize SQL queries, including joins, aggregations, and data modeling activities within BigQuery and other cloud platforms. You will support data preparation and ETL activities using tools such as Dataflow, Apache Beam, dbt, or similar technologies. You will document analytical methods, assumptions, data sources, and outputs to ensure transparency and repeatability. You will collaborate with cross-functional teams including Manufacturing, Quality, Engineering, Data Engineering, and Business Intelligence partners. You will support Agile project execution by managing assigned work through Jira and participating in project planning activities. You will expand your manufacturing domain expertise through cross-functional learning and continuous development opportunities. What makes you successful: You have a Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Operations Research, or a related technical discipline. You have 2-5 years of experience in data science, analytics, business intelligence, or a related field, or a Master's degree with 0-2 years of related experience. You have hands-on experience using Python for data analysis, data preparation, visualization, and analytical modeling. You have strong SQL skills, including experience with joins, aggregations, filtering, and data modeling concepts. You have experience working