Data Scientist 2 (Product Intelligence)

Dexcom’s Manufacturing Analytics team is turning manufacturing, process, quality, and operational data into practical insights that support safer, more efficient work and better decision-making. In this onsite role in San Diego, CA, you’ll apply data science and statistical methods to help uncover trends, risks, and opportunities across production, while strengthening your manufacturing domain expertise through cross-functional learning.

You’ll work with modern tooling across the analytics workflow, including Python, SQL, BigQuery, Google Cloud Platform (GCP), and Tableau, plus ETL and data transformation technologies such as Dataflow, Apache Beam, and dbt. The position supports Agile delivery using Jira, and includes documentation of analytical methods for transparency and repeatability.

What you’ll do

• Analyze manufacturing, process, quality, and operational datasets to identify trends, performance gaps, and opportunities for improvement.
• Extract, transform, analyze, and visualize large datasets using Python, SQL, and cloud-based data platforms.
• Develop statistical, predictive, and analytical models to support manufacturing process understanding and operational decision-making.
• Create Tableau dashboards and reports that communicate key metrics and analytical findings to stakeholders.
• Run exploratory data analysis, perform data mining, and conduct root cause investigations tied to process optimization initiatives.
• Collect business requirements and translate stakeholder challenges into analytical questions, data needs, and actionable solutions.
• Write and optimize SQL queries, including joins, aggregations, and data modeling activities in BigQuery and other cloud platforms.
• Support data preparation and ETL using tools such as Dataflow, Apache Beam, dbt, or similar technologies.
• Document analytical methods, assumptions, data sources, and outputs to maintain clarity and repeatability.
• Collaborate with cross-functional partners across Manufacturing, Quality, Engineering, Data Engineering, and Business Intelligence.
• Manage assigned work through Jira and participate in project planning to support Agile execution.
• Expand manufacturing knowledge through cross-functional learning and continuous development opportunities.

What you bring

• Bachelor’s degree in a related technical discipline, such as Data Science, Statistics, Mathematics, Computer Science, Engineering, or Operations Research (education details listed).
• 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.
• Hands-on experience with Python for data analysis, data preparation, visualization, and modeling.
• Strong SQL skills, including joins, aggregations, filtering, and data modeling concepts.
• Experience with manufacturing, operations, engineering, quality, supply chain, or other operational datasets.
• Dashboard and visualization experience with Tableau or similar BI tools.
• Understanding of descriptive statistics, trend analysis, and analytical problem-solving techniques.
• Experience with cloud-based data platforms, preferably GCP and BigQuery.
• Ability to gather business requirements and translate stakeholder needs into practical analytical solutions.
• Strong communication skills for presenting insights to both technical and non-technical audiences.
• Problem-solving skills, attention to detail, and the ability to manage multiple priorities in a fast-paced environment.
• Experience collaborating with cross-functional teams to deliver data-driven outcomes.

Technologies you’ll use

Python, SQL, Tableau, BigQuery, Google Cloud Platform (GCP), Dataflow, Apache Beam, dbt, Jira

Preferred skills

• Experience analyzing manufacturing process, equipment, quality, or operational performance data.
• Familiarity with CRISP-DM, Agile methodologies, Jira, or similar project management frameworks.
• Experience with ETL and data engineering tools such as Google Cloud Dataflow, Apache Beam, or dbt.
• Knowledge of Google Cloud Storage and other GCP services.
• Exposure to machine learning, predictive analytics, data mining, or mathematical modeling techniques.
• Familiarity with Lean, Six Sigma, continuous improvement, or manufacturing problem-solving methodologies.
• Experience in regulated industries such as medical devices, life sciences, or highly regulated manufacturing.
• Interest in pursuing Google Associate Cloud Engineer or related cloud certifications.

Compensation & benefits

Salary: USD 91,400 - 152,300 per year.

• A front row seat to life changing CGM technology and learning about the #dexcomwarriors community.
• A full and comprehensive benefits program.
• Growth opportunities on a global scale.
• Career development support through in-house learning programs and/or qualified tuition reimbursement.
• An innovative, industry-leading organization committed to employees, customers, and the communities served.

Meet the team

The Manufacturing Analytics team partners with Manufacturing, Quality, Engineering, R&D, and Operations to transform data into actionable insights that drive process improvements, operational efficiency, and informed business decisions. The team uses data science, statistical analysis, cloud technologies, and visualization tools to support critical manufacturing and business initiatives across the organization.