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Key Responsibilities:
- Own the end-to-end data science lifecycle, including data ingestion, feature engineering, modeling, validation, deployment, monitoring, and retraining.
- Apply expertise in machine learning and statistics to select appropriate methods for complex data science problems.
- Write efficient, modular, well-tested code using distributed tooling like Vertex AI pipelines, Dataflow, and BigQuery.
Execution & Collaboration:
- Define analytical approaches and scope data science projects for moderately complex business problems.
- Partner with product managers and stakeholders to define success metrics and experiment goals.
- Lead the design and analysis of experiments such as A/B tests and switchback, interpreting complex results.
Mentorship & Influence:
- Mentor DS I and DS II scientists, providing technical guidance and supporting their growth.
- Influence technical decisions within the team regarding modeling choices and validation strategies.
- Drive improvements to team standards and data science best practices, educating stakeholders on model capabilities.
OpenX
OpenX focuses on unleashing the economic potential of digital media companies by building digital advertising markets and technologies. The company is a growing and scaling team that values thoughtful, creative executors and a blend of market design, technical innovation, and operational excellence.