Data Scientist

5+ years of data science experience Experience translating complex analytical findings into clear business recommendations Experience independently driving data science and engineering solutions Advanced knowledge in using Python and SQL for data analysis over large-scale datasets Skilled using python libraries and packages (Pandas, Polars, PyArrow) in conjunction with the Google Cloud Platform (BigQuery) Comfortable working on AI pipelines (Vertex AI) Knowledge of bash/shell and orchestration tools (e.g. Airflow), is preferred Experience with version control (Git) and containers (Docker) Skilled in analytical SQL in support of data modeling/ transformations and manipulating multiple data formats (dbt) Foundational expertise of deploying and maintaining machine learning pipelines is a plus Bachelor's degree required Masters degree in Computer Science, Engineering, Math, or equivalent experience preferred

Design robust, reusable, and scalable data solutions and data mining frameworks. Build models to analyze various datasets across the organization. Partner and collaborate with Data Engineers in active development of large-scale engineering projects. Develop new systems and tools to enable stakeholders to consume and understand data more intuitively. Create and establish design standards and assurance processes for data connections, flows, and storage. Keep JUUL Labs on the cutting edge of data technology.