Analytics Data Instrumentation Lead

Job Description

The Creativity Apps team at Apple is seeking an hands-on Analytics Instrumentation professional to work closely with engineering and product teams to develop measurement plans and drive client and server Instrumentation.

Requirements

• Minimum of 5 years of professional experience supervising analytics measurement and implementation efforts with hands-on event tagging and code validation
• Experience in mobile native apps at the intersection of tracking & measurement tactics and product development
• Bachelor’s degree in the fields of CS, EE, Information Systems, Analytics, or similar academic areas
• Proficient in writing code in Objective C, Python, and SQL
• Proficient in writing code in Hadoop MapReduce, Hive, and Spark SQL
• Ability to lead and implement data collection & data processing efforts from start to finish
• Strong product measurement experience, including app instrumentation, data analysis, and agile development standard methodologies
• Excellent presentation and communication skills, with strong attention to detail

Responsibilities

• Work with large volumes of data; extract and manipulate large datasets using tools such as Spark SQL, command line, and scripting languages
• Analyze data covering a wide range of information from user profile to feature usage behavior signals and identify new engagement patterns through data mining
• Conduct hypothesis-driven exploratory analysis, build feature engineering, design the best structure, and select the most appropriate modeling techniques from a variety of machine learning models
• Design, develop, validate, and maintain big data-driven predictive models, tools, and pipelines to improve user engagement using the latest technologies in machine learning, user pattern recognition, and data modeling based on user lifecycle events
• Collaborate with product, design, engineering groups to translate a feature & design functionality question to a data science problem and formulate innovative solutions to experiment and implement advanced data mining techniques
• Communicate complex concepts and the results of the analyses in a clear and effective manner to senior management