About the role
We're looking for an Applied Scientist to join our Brand Marketing Data Platform team and provide strategic insights, measurement, and optimization for a large brand marketing budget. As a member of the brand science team, you will not only be able to perform complex analyses exploring our large and rich dataset, but also shape our measurement capabilities, develop existing data ecosystem, and organize experimentation with the goal to improve how we deploy our marketing dollars.
Problems we're working on include:
Responsibilities
We're looking for an Applied Scientist to join our Brand Marketing Data Platform team and provide strategic insights, measurement, and optimization for a large brand marketing budget. As a member of the brand science team, you will not only be able to perform complex analyses exploring our large and rich dataset, but also shape our measurement capabilities, develop existing data ecosystem, and organize experimentation with the goal to improve how we deploy our marketing dollars.
Problems we're working on include:
- Optimization of marketing budget allocation
- Automation of measurement setup and reporting
- Improvement of measurement operations
Responsibilities
- Ask questions about drivers of campaign performance, design experiments, set up measurement, interpret the results, and present to the team
- Work closely with Measurement Operations, Media, and marketing Agency teams to ensure measurement is set up correctly and on time. Propose and execute on operational improvements, including automations to the process
- Hands-on contribute to existing data pipelines, update ELT, and design the most efficient data architecture
- Ph.D., M.S., or B.S. degree in Statistics, Computer Science, Applied Mathematics, Electrical Engineering, Economics, or other quantitative fields is preferred. (If M.S. degree, a minimum of 2+ years of industry experience required, if B.S. degree a minimum of 3+ years of industry experience required)
- Advanced skills in SQL, Python, and BI tools for data analysis/visualization
- In-depth understanding of and experience with experimental design
- Intellectual curiosity and a demonstrated ability to provide thought partnership to executive stakeholders
- Excellent communication skills to understand stakeholder needs, set expectations around feasibility, translate business challenges into research questions, and present findings to non-technical audiences
- Experience working with marketing data, understanding of marketing measurement fundamentals
- Familiarity with Google App Scripts to build quick-to-deploy data tools
- Understanding of capabilities offered by publishers including ad products, brand lift and measurement solutions
- Familiarity with the latest technologies, including AI-powered automations, coding toolkits, etc.
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