Job Location: Austin, TX
Summary
Posted: May 19, 2022
Role Number:200381633
Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more. The Apple Media Products Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to privacy. We are currently seeking an experienced manager to lead a product data science team focused on growing Apple’s App Store business. You will lead a team of highly experienced data scientists working closely with product, business, and engineering partners to measure, understand, and grow the App Store. As a key member of our diverse and dynamic organization, you’ll have the rare and rewarding opportunity to work with datasets of unique magnitude, richness, and dedication to customer privacy that will frequently require innovative approaches. You’ll work collaboratively with partners across Business, Marketing, Product and Engineering daily to deliver material customer and business value. The position is based in Cupertino or Austin.
Key Qualifications
- 2+ years of experience in managing data science, analytics, or data operations teams
- Demonstrated ability in data science with proven skills in developing meaningful and concise analytic objectives from general business goals
- Mastery in SQL-based languages, and proficiency in at least one large-scale data languages such as Scala or PySpark
- Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R
- Superb communication and presentation skills with meticulous attention to detail with the ability to collaborate effectively between business and analytic teams at multiple levels of the organization
Description
Lead all aspects of large sophisticated projects from conception to completion, develop roadmaps and requirements, identify risks and develop contingency plans, evaluate impact, and regularly communicate status to executives Develop statistical and ML-based models to understand the causal impact of App Store features and optimizations Work closely with engineering partners to engineer features for enhancing App Store user experiences Create insights using data and statistical inference around developer and customer behavior to help scope potential new features and enhancements for the App Store Establish, enhance, and socialize top line and operational metrics that accurately represent the business state of health Lead proactive analyses that identify key drivers of business health metrics, and make recommendations that optimize overall business performance Develop reporting measures to expand the portfolio of self-service dashboards and reports to inform, enable, and empower App Store product team members Draft schema and instrumentation requirements to enrich core datasets for new business features and App Store product launches Develop, recruit, and train a diverse team of hard-working data scientists focused on uncovering insights from large-scale data
Education & Experience
Minimum of a Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. Masters degree or PhD in a related field a plus
Additional Requirements
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