Job Description
You will be comfortable being in a hybrid role, working between the business, other data scientists, and data engineers to reveal what trends and KPIs matter. You will primarily focus on advancing conviction in decision making throughout Juul Labs. Design robust, reusable and scalable data solutions and data mining frameworks to automate analysis. They largely use DBT, BigQuery, Hex, Vertex AI, and Tableau today β however are open to adapt. Build models to analyze various datasets across the organization, largely leveraging our vast commercial sales and execution data. Partner and collaborate with Data Engineers in active development of large-scale engineering projects across the entire lifecycle of Data from source, ingestion, modeling, and mining. Work in an agile environment using Trello. Develop new systems and tools to enable stakeholders to consume and understand data more intuitively. Create and establish design standards and assurance processes to ensure compatibility and operability of data connections, flows and storage requirements and keep JUUL Labs on the cutting edge of data technology. Perform related duties as assigned, within your scope of practice.
About Juul Labs
Juul Labs's mission is to transition the worldβs billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products.