Metrics Engineer-Maps Evaluation (San Francisco)
- You'll work in a cross-functional setting to generate the best possible metrics for our partner teams.
- You'll architect new analytics data collection, work with technical partners to design technical implementation, and build tools to streamline sign-off and continuous monitoring. We work closely with Maps Client, Engineering and Data Platform teams to find opportunities for improving data collection.
- You'll build relationships across Maps data ecosystem to understand end-to-end processes and how Maps information moves from device to data repositories and dashboards.
- Masters degree or PhD in a quantitative field (computer science, data science, mathematics, physics, chemistry, economics, or statistics) and 2 years of work experience. Willing to consider a candidate with a Bachelors degree in a quantitative field and 5 years of experience.
- 2+ years industry experience building tools or custom packages in Python
- 2+ years of experience in object-oriented programming in Python. Will consider significant experience in a different object-oriented language (e.g. Java, Scala)
- 2+ years SQL experience
- Experience using git for version control
- Experience in designing analytic solutions to open-ended problems
- Experience in building relationships across teams, communicating technical content and analytical insights to teams from various disciplines
- Prior industry experience with Airflow or other scheduling technologies
- Prior industry experience doing engineering system design
- Prior industry experience building ETL pipelines for stakeholder consumption
- Prior industry experience in full stack web application development
- Prior industry experience with Docker and Kubernetes
- Prior industry experience with building anomaly detection systems
- Prior industry experience with Big Data using technologies like Hadoop, Hive, and Spark
- Prior industry experience with building dashboards and visualizing data in technologies like Tableau, Dash, Plotly, etc.
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