Data Scientist 2 (Product Intelligence)

Dexcom • San Diego, CA

8d • $91,400 - $152,300 • Onsite

About The Position

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.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Operations Research, or a related technical discipline.
• 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 using Python for data analysis, data preparation, visualization, and analytical modeling.
• Strong SQL skills, including experience with joins, aggregations, filtering, and data modeling concepts.
• Experience working with manufacturing, operations, engineering, quality, supply chain, or other operational datasets.
• Experience building dashboards and visualizations using Tableau or similar business intelligence tools.
• Strong understanding of descriptive statistics, trend analysis, data distributions, and analytical problem-solving techniques.
• Experience working with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery.
• Ability to gather business requirements and translate stakeholder needs into practical analytical solutions.
• Strong communication skills and can effectively present insights to both technical and non-technical audiences.
• Strong 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 business outcomes.

Nice To Haves

• 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 working within regulated industries such as medical devices, life sciences, or highly regulated manufacturing environments.
• Interest in pursuing Google Associate Cloud Engineer or related cloud certifications.

Responsibilities

• Analyze manufacturing, process, quality, and operational data to identify trends, risks, opportunities, and performance improvement recommendations.
• Use Python, SQL, and cloud-based data platforms to extract, transform, analyze, and visualize large datasets.
• Develop statistical, predictive, and analytical models to support manufacturing process understanding and operational decision-making.
• Create Tableau dashboards and reports that communicate key metrics, analytical findings, and business insights to stakeholders.
• Perform exploratory data analysis, data mining, and root cause investigations to support process optimization initiatives.
• Gather business requirements and translate business challenges into analytical questions, data requirements, and actionable solutions.
• Write and optimize SQL queries, including joins, aggregations, and data modeling activities within BigQuery and other cloud platforms.
• Support data preparation and ETL activities using tools such as Dataflow, Apache Beam, dbt, or similar technologies.
• Document analytical methods, assumptions, data sources, and outputs to ensure transparency and repeatability.
• Collaborate with cross-functional teams including Manufacturing, Quality, Engineering, Data Engineering, and Business Intelligence partners.
• Support Agile project execution by managing assigned work through Jira and participating in project planning activities.
• Expand your manufacturing domain expertise through cross-functional learning and continuous development opportunities.

Benefits

• A front row seat to life changing CGM technology.
• Learn about our brave #dexcomwarriors community.
• A full and comprehensive benefits program.
• Growth opportunities on a global scale.
• Access to career development through in-house learning programs and/or qualified tuition reimbursement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level