Metrics Engineer-Maps Evaluation

Apple Maps Evaluation team is looking for an experienced metrics engineer to join our Data Insights team. Our team supports Apple Maps wide metrics that provide a holistic view of Apple Maps product quality. Our work spans the entire data ecosystem: metrics design, instrumentation, data set design, data quality checks, tooling, batch and real time applications, and reporting. We partner with Data Infrastructure, Maps Client Engineering, and Privacy Engineering teams to ensure that we report metrics that are based on the highest quality data.

Description

Metrics Engineers love to deep dive into data, understand data quality measures, discover patterns and insights, propose changes to our data ecosystem, and build tools for data scientists and data engineers to use. We need candidates who are phenomenal communicators and can advocate for the partner teams who make product decisions based on our metrics. ","responsibilities":"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.

Preferred Qualifications

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.

Minimum Qualifications

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)