About the role
Requirements:
- 8+ years of hands-on experience in data science, marketing analytics, or applied measurement. Deep expertise in Marketing Mix Modeling (MMM): methodology, tooling, business integration, and stakeholder communication.
- Strong knowledge of marketing attribution, incrementality testing, and causal inference methods (geo-testing, diff-in-diff, synthetic controls, uplift modeling).
- Experience with performance forecasting and budget optimization in a marketing context.
- Proven ability to manage and influence senior stakeholders across functions and geographies.
- Strong executive communication skills: comfortable presenting complex methodology and business implications to senior marketing and business leaders.
- Deep proficiency in SQL and Python or R; experience operating in production analytics environments.
- Comfort operating in a globally distributed team environment with US-based counterparts.
Nice to Have
- Exposure to offline marketing analytics, brand measurement, or upper-funnel attribution.
- Experience scaling and modernizing legacy marketing measurement infrastructure.
- Familiarity with dbt, Databricks, Snowflake, Airflow, or comparable data infrastructure.
- Experience building or managing analytics teams across multiple geographies.