remote
Staff Data Scientist, Ads Delivery
Data Scientist
Lead advanced analytics for ad delivery, building scalable Spark pipelines and causal models to optimize campaign performance and forecast outcomes.
About the role
Key Responsibilities
- Design, develop, and maintain large‑scale data pipelines in Apache Spark to support real‑time ad delivery analytics.
- Apply causal inference techniques to evaluate the impact of new ad features and platform changes.
- Build and deploy machine learning models that predict campaign performance and user engagement.
- Collaborate with product, engineering, and business teams to translate insights into actionable product improvements.
- Mentor junior data scientists and promote best practices in experimentation and model governance.
Requirements
- 10+ years of experience in data science, with a strong focus on large‑scale data processing.
- Expertise in Apache Spark, Python, and SQL.
- Proven track record of applying causal inference and predictive modeling to commercial problems.
- Excellent communication skills and ability to influence cross‑functional stakeholders.
Skills
apache sparkmachine learning