Director Of Data Science

Summary

Join Juul Labs as a Data Science Manager and lead a team of 3+ data scientists. You will collaborate with data engineers and business stakeholders to drive data-informed decision-making. Responsibilities include designing scalable data solutions, building analytical models, and developing intuitive data consumption tools. The ideal candidate possesses 10-15 years of experience in data science and management, advanced knowledge of Python and SQL, and expertise in the Google Cloud Platform. A Master's degree is preferred, but a Bachelor's degree is required. Juul Labs offers a comprehensive benefits package, including equity, performance bonuses, health insurance, 401(k) matching, and more.

Requirements

• 10-15 years of data science and managerial experience
• Significant experience independently driving engineering and analysis solutions
• Advanced knowledge in using Python and SQL for data analysis over large-scale datasets
• Skilled using python libraries and packages (Pandas, PyArrow) in conjunction with the Google Cloud Platform (BigQuery)
• Comfortable working on AI pipelines (Vertex AI)
• Experience with version control (Git) and containers (Docker)
• Skilled in analytical SQL in support of data modeling/ transformations and manipulating multiple data formats
• Bachelor’s degree required

Responsibilities

• Lead analysis while managing and growing a team of 3+ Data Scientists, working collaboratively with Data Engineers
• 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 work overwhelmingly to advance conviction in decision making throughout Juul Labs
• Design robust, reusable and scalable data solutions and data mining frameworks to automate analysis. We largely use DBT, BigQuery, Vertex AI, Tableau, and Notebooks today – 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
• Design scalable solutions to cleaning and tagging data, preferably using AI technologies such as Vertex AI among others
• 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
• Keep Juul Labs on the cutting edge of data technology
• Perform related duties as assigned, within your scope of practice

Preferred Qualifications

• Knowledge of bash/shell and orchestration tools (e.g. Airflow), is preferred
• Foundational expertise of deploying and maintaining machine learning pipelines is a plus
• Preferred Masters degree in Computer Science, Engineering, Math, or equivalent experience

Benefits

• Equity and performance bonuses. Every employee is a stakeholder in our success
• Cell phone subsidy, commuter benefits and discounts on JUUL products
• Excellent medical, dental and vision, disability, and life insurance, plus family support, wellness, legal, and employee assistance program benefits
• 401(k) plan with company matching
• Plus biannual discretionary performance bonuses