Metrics Engineer-Maps Evaluation

**Weekly Hours:** 40

**Role Number:** 200617221-3401

**Summary**

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.

**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)

+ 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

**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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .