Sr Manager, Data Science

About the position

Juul Labs's mission is to transition the world’s billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products. We have the opportunity to address one of the world’s most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent. We are a diverse team that is united by this common purpose and we are hiring the world’s best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career is compelling, read on for more details.

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
• Design robust, reusable and scalable data solutions and data mining frameworks to automate analysis
• 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

Requirements

• 6-8 years of data science experience
• At least 2 years of people management experience
• Experience driving engineering and analysis solutions
• Knowledge in using Python and SQL for data analysis over large-scale datasets
• Proficient in using python libraries and packages (Pandas, 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)
• Experience in analytical SQL in support of data modeling/ transformations and manipulating multiple data formats
• Foundational experience in deploying and maintaining machine learning pipelines is a plus

Benefits

• A place to grow your career. We’ll help you set big goals - and exceed them
• People. Work with talented, committed and supportive teammates
• 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 benefits