Metrics Engineer-Maps Evaluation
Apple
Metrics Engineer-Maps Evaluation
Job Description
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. 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.
Locations
- San Francisco Bay Area, California, United States
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- metrics designintermediate
- instrumentationintermediate
- data set designintermediate
- data quality checksintermediate
- toolingintermediate
- batch applicationsintermediate
- real time applicationsintermediate
- reportingintermediate
- deep dive into dataintermediate
- understand data quality measuresintermediate
- discover patterns and insightsintermediate
- propose changes to data ecosystemintermediate
- build toolsintermediate
- phenomenal communicatorsintermediate
- advocate for partner teamsintermediate
Required 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. (experience, 2 years)
- 2+ years industry experience building tools or custom packages in Python (experience, 2 years)
- 2+ years of experience in object-oriented programming in Python. Will consider significant experience in a different object-oriented language (e.g. Java, Scala) (experience, 2 years)
- 2+ years SQL experience (experience, 2 years)
- Experience using git for version control (experience)
- Experience in designing analytic solutions to open-ended problems (experience)
- Experience in building relationships across teams, communicating technical content and analytical insights to teams from various disciplines (experience)
Preferred Qualifications
- Prior industry experience with Airflow or other scheduling technologies (experience)
- Prior industry experience doing engineering system design (experience)
- Prior industry experience building ETL pipelines for stakeholder consumption (experience)
- Prior industry experience in full stack web application development (experience)
- Prior industry experience with Docker and Kubernetes (experience)
- Prior industry experience with building anomaly detection systems (experience)
- Prior industry experience with Big Data using technologies like Hadoop, Hive, and Spark (experience)
- Prior industry experience with building dashboards and visualizing data in technologies like Tableau, Dash, Plotly, etc. (experience)
Responsibilities
- 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.
- 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.
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Answer 10 quick questions to check your fit for Metrics Engineer-Maps Evaluation @ Apple.
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~2 Minutes
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Metrics Engineer-Maps Evaluation
Apple
Metrics Engineer-Maps Evaluation
Job Description
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. 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.
Locations
- San Francisco Bay Area, California, United States
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- metrics designintermediate
- instrumentationintermediate
- data set designintermediate
- data quality checksintermediate
- toolingintermediate
- batch applicationsintermediate
- real time applicationsintermediate
- reportingintermediate
- deep dive into dataintermediate
- understand data quality measuresintermediate
- discover patterns and insightsintermediate
- propose changes to data ecosystemintermediate
- build toolsintermediate
- phenomenal communicatorsintermediate
- advocate for partner teamsintermediate
Required 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. (experience, 2 years)
- 2+ years industry experience building tools or custom packages in Python (experience, 2 years)
- 2+ years of experience in object-oriented programming in Python. Will consider significant experience in a different object-oriented language (e.g. Java, Scala) (experience, 2 years)
- 2+ years SQL experience (experience, 2 years)
- Experience using git for version control (experience)
- Experience in designing analytic solutions to open-ended problems (experience)
- Experience in building relationships across teams, communicating technical content and analytical insights to teams from various disciplines (experience)
Preferred Qualifications
- Prior industry experience with Airflow or other scheduling technologies (experience)
- Prior industry experience doing engineering system design (experience)
- Prior industry experience building ETL pipelines for stakeholder consumption (experience)
- Prior industry experience in full stack web application development (experience)
- Prior industry experience with Docker and Kubernetes (experience)
- Prior industry experience with building anomaly detection systems (experience)
- Prior industry experience with Big Data using technologies like Hadoop, Hive, and Spark (experience)
- Prior industry experience with building dashboards and visualizing data in technologies like Tableau, Dash, Plotly, etc. (experience)
Responsibilities
- 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.
- 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.
Tags & Categories
Answer 10 quick questions to check your fit for Metrics Engineer-Maps Evaluation @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs