Sr. Data Instrumentation Analytics Engineer
We're idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards forward-thinking, creative thinking, and hard work. And none of us here would have it any other way. Does an exciting, dynamic, and fast-paced environment catch your attention? Consider joining our team!
The Apps team is looking for an hands-on Analytics Instrumentation professional. We'd like to find a thought partner to the engineering and product teams to help understand their goals. We prefer a problem solver with strong instrumentation and measurement skills suited to approach various kinds of challenges in sophisticated environments. Someone able to use analytical skills to develop measurement plans and work with multi-functional teams towards driving client and server Instrumentation.
Description
Faced with a variety of problems to solve, this role requires strong analytical and quantitative skills. Creativity and critical thinking skills will be put to good use, deconstructing problems and transforming your insights into data backed recommendations.","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.
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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 to understand feature impact on audience habituation and retention.
Design, develop, validate and maintain big data-driven predictive models, tools and pipelines to improve user engagement using 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.
Strong product measurement experience, including app instrumentation, data analysis and agile development standard methodologies.
Ability to manage large sets of unstructured app behavioral data in a distributed data environment, specifically supervising validation, data post processing business rules, data cleansing, and metrics reporting.
Preferred Qualifications
Passion for photography or image editing.
Objective C to debug code
Experience in mobile native apps, specifically tracking & measurement tactics and product development.
Master's degree in CS, EE, Information Systems, Analytics fields, or a related subject area.
Minimum Qualifications
5+ years of industry experience supervising analytics measurement and implementation efforts with hands-on event tagging and code validation.
Bachelor's degree in Computer Science, Electrical Engineering, Information Systems, Analytics fields, or a related subject area, or we may consider an equivalent industry experience.
3+ years experience coding in Python and SQL.
3+ years experience coding in Hadoop: MapReduce, Hive or Spark SQL.
3+ years experience leading the implementation of data collection & data processing efforts from start to finish.
Previously have been a core member of instrumentation & measurement standards functions.
Self-motivation and a can-do attitude.
Excellent presentation and communication skills, with strong attention to detail.
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 .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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