12 days old

Marketing Scientist - WPC Analytics/ Data Science

Cupertino, CA 95014
  • Job Code


Posted: Feb 16, 2021

Role Number:200223904

At Apple, extraordinary ideas have a way of becoming great products, services, and customer experiences very quickly. If you are a...Summary


Posted: Feb 16, 2021

Role Number:200223904

At Apple, extraordinary ideas have a way of becoming great products, services, and customer experiences very quickly. If you are a results-oriented, high-energy individual who is not afraid of challenges, we're looking for you to join the Wallet, Payments & Commerce Analytics organization to drive optimization analytics for the Apple Services business. The WPC Analytics team supports all commerce and payments across all of Apple's Services business (App Store, iTunes, Music, Books, TV+, iCloud, Apple Wallet). You are skilled analytically with a strong business sense. You will be a partner to the business, understand their goals and then use your skills and subject matter expertise to surface impactful insights that drive business and customer benefits. You will collaborate with partners across product, design, engineering, and business teams to drive your findings and recommendations into action. Our culture is about getting things done iteratively and rapidly, with open feedback and debate along the way; we believe analytics is a team sport, but we strive for independent decision-making and taking smart risks.

Key Qualifications

  • 5 + years of recent experience in applied econometrics or marketing models.
  • Strong passion for applied empirical analytics and predictive analytics to provide with measurable insights
  • Confirmed collaboration, communication and story telling skills with ability to adapt and connect across a variety of audiences. This includes significant writing, and data visualization skills with the ability to communicate complex quantitative analysis in a clear, detailed, and meaningful manner to senior executives.
  • Ability to partner with the data engineering and BI teams to run workflows, requirements and project roadmap to ensure consistent data availability, data quality and data accessibility.
  • Excellent time management skills to operate with tight deadlines and balance the pressure of product launches and executive requests.
  • Be a self-starter, driven, accountable and a high-energy teammate
  • Strong familiarity with multiple platforms, tools, methodologies in data analysis and insight synthesis.
  • Have strong working knowledge of database structures and data warehousing principles and have authoritative level SQL with the ability to ETL both structured and unstructured data from various sources.
  • Conceive and execute the design of end to end scripted analytics solutions using SQL/TeraData as well as modern analytical systems in Spark SQL, PySpark/Hadoop as well as experience using Notebooks.
  • Experience in running econometric models in Python or R
  • Experience in data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.


You will play a key role contributing to the Marketing Science team. You will help build marketing mix models, examine promotion effectiveness, and measure incrementality of marketing campaigns.

Your day to day activities will include: Deep dives in large-scale data to identify key insights that inform marketing decisions. Run Applied Regression models, examine causal inference, and perform sensitivity tests. Engage with business partners, engineering, product management teams as a thought partner. Build and maintain positive relationships with key partners across the company to optimally deliver measurable insights. Partner with other Apple organizations on data gathering, data governance, modernizing data with reporting tools and evangelizing critical metrics.

Education & Experience

Minimum of Master's degree, preferably in applied economics, statistics, or related quantitative field. PhD preferred.

Additional Requirements

Posted: 2021-02-17 Expires: 2021-03-19

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Marketing Scientist - WPC Analytics/ Data Science

Apple, Inc.
Cupertino, CA 95014

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