Staff Data Scientist, Marketing Analytics

We are looking for an inquisitive, highly analytical, and detail-oriented Staff Data Scientist, experienced in Acquisition Marketing. This data-centric role is vital for building and maintaining analytics tools and workflows. A passion for solving problems around marketing attribution, spend optimization, and guiding profitable growth for the business is essential for success. You’re an excellent fit for this role if you’re comfortable managing projects simultaneously, working with a cross-functional team, and informing and influencing stakeholders with data, using insights to drive outcomes.

What you’ll do:

• Support the advancement of analytical capabilities across acquisition and retention marketing
• Develop and implement advanced analytics frameworks to tell the story of marketing performance and make budget recommendations, including media mix modeling (MMM) and channel-level marginal CAC
• Drive the learning agenda related to channel strategy, e.g. geo-level testing and media mix testing, working with marketing leadership to operationalize
• Create central reporting solutions to create holistic, executive-level, and cross-functional visibility into marketing performance, and establish and communicate the narrative around performance at appropriate altitude
• Develop required data collection and transformation processes to support reporting and analytics solutions
• Create presentations and written documents with little guidance, and present to both technical and non-technical audiences in an effective way, articulating ideas and opinions clearly and efficiently
• Serve as a mentor to more junior analysts, contributing to the advancement of capabilities and work across the Marketing Analytics organization, and act as an example for the team to follow

What you have:

• Bachelor's degree in Statistics, Economics, Computer Science, Data Science, Engineering, or a related field
• 5+ years’ of Marketing Data Analytics experience in an e-commerce, direct-to-consumer environment
• Advanced knowledge of SQL, including comfort with analytics functions, window functions, and common table expressions
• 3+ years’ experience with scripting languages (Python) & data visualization tools (Tableau preferred)
• Professional experience with implementing statistical models into business processes
• Advanced ability to draw insights from analysis supported by data, and clearly communicate them to stakeholders, including senior management
• Intellectual curiosity, and solid understanding of data sources and ecosystems, with the ability to see from the brand’s business lens

Where you’ll live:

• While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote