Analytics Engineer

Analytics Engineer, Data Organization

W2 Only!!

No C2C!!

Local highly preferred!

Job Summary

Would you like to play a part in the next revolution in human-computer interaction? Contribute to a product that is redefining mobile and desktop computing, and work with the people who built the intelligent assistant that helps millions of people get things done — just by asking? The vision for the Siri Data organization is to improve Siri by using data as the voice of our customers. Within this organization the mission of the Analytics team is to inform the evolution of Siri through measurement and analysis of the user experience.

As an Analytic Engineer on the team, you will build data and tools that enable analytics to inform product and engineering teams at scale, with the ultimate purpose of improving the Siri experience for Client customers.

Key Qualifications

• You have engineered metrics and statistical information out of massive and complex datasets (e.g. Hive, Spark MLlib, Druid, Solr, Kafka).
• You are fluent in at least one programming language (e.g. Python, Scala) and are comfortable developing code within a team environment (e.g. git, testing, code reviews).
• You have built robust data and analytic pipelines and have a keen eye for where to automate (e.g. Oozie, Airflow).
• You are self-motivated and curious with demonstrated creative and critical thinking capabilities and an innate drive to improve how things work.
• You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
• You can influence decisions with excellent verbal and written communications skills.

Description

Education B.S., M.S., or PhD in Computer Science, Computer Engineering, Statistics, Bioinformatics, Applied Mathematics, Physics or equivalent practical experience