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Apple News Revenue Subscriptions Data Engineer/Data Scientist- Cul... United States, California, Culver City
Yesterday
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Apple
News Revenue Subscriptions Data Engineer/Data Scientist- Culver City
United States, California, Culver CityDetails
Key Qualifications
- Demonstrated ability in Data Science, and a track record of developing concise and significant analytic objectives from general business goals.
- Tested expertise in scalable schema designs, relational database and big data technologies, ETL, code management, query performance optimization, and documentation
- Mastery of SQL-based languages, and proficiency in at least one large-scale data language such as Scala or PySpark
- Hands-on experience building interactive dashboards, interpretable machine learning models, and sophisticated analytics using Bash, SQL, and Python
- Meticulous attention to detail, an ability to collaborate effectively between business and data groups, and differentiating communication/presentation skills
Description
Partner with Marketing, Data, and business groups to build an understanding of growth and health drivers for the News+ businessDevelop analytic projects from conception to completion, develop roadmaps and requirements, identify risks and develop contingency plans, evaluate impact, and regularly communicate status to partnersEstablish, enhance, and socialize top line and operational metrics that accurately represent the business’ state of health and insight into sophisticated subscription dynamicsLead proactive analyses that identify key drivers of business health data, and make recommendations that optimize overall business performanceDevelop reporting measures to expand the portfolio of self-service dashboards and reports to inform, enable, and empower News+ business partnersCollaboratively develop and analyze tests to provide insights into the interaction between Marketing efforts and Subscription impacts Build a comprehensive view of consumer behavior across the News+ platform
Education & Experience
Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field. Masters degree or higher in a related field a plus.
