Lead high-impact analytics initiatives within the Ads Analytics team to deliver insights that shape the advertising ecosystem.
Requirements
- 2+ years of experience in experimental design, statistical modeling, and causal inference, with a conceptual understanding of how these methods support decision-making and business impact.
- Proficient in Python or R and SQL, with 1+ years of experience writing code that supports both analytical rigor and scalable data workflows.
- 1+ year of experience working within cloud-based data environments (e.g., GCP, AWS, Azure), with a conceptual understanding of cloud infrastructure and its role in scalable analytics.
- Familiarity with AI/ML tools and their business applications.
Responsibilities
- Lead analytics projects focused on ad performance, client measurement, and experimentation.
- Design and oversee experiments to evaluate product impact and optimize advertising outcomes.
- Build forecasting models and apply Bayesian frameworks to support strategic decisions.
- Develop scalable data pipelines and reporting tools across cloud platforms.
- Communicate insights through clear, compelling visualizations for technical and non-technical audiences.
- Mentor junior data scientists and foster technical excellence across the team.
Other
- 4+ years of experience in data science roles focused on advertising, marketing analytics, or client measurement, with a strong ability to connect data insights to business strategy.
- 2+ years of experience leading data-driven projects, influencing cross-functional teams, and translating complex concepts into actionable strategies
- Bachelor's Degree on Statistics, Computer Science or a related field
- Advanced degree in Statistics, Computer Science, or a related field.
- Experience in ad tech or client-facing analytics.
