Summary

Posted: Nov 1, 2020

Weekly Hours: 40

Role Number:200168844

There is a job and then there is a calling. The one that wakes you before the alarm rings every morning and make...Summary

Summary

Posted: Nov 1, 2020

Weekly Hours: 40

Role Number:200168844

There is a job and then there is a calling. The one that wakes you before the alarm rings every morning and makes you excited to be at work. Our Apple Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work.

Advertising Platforms is the top tier advertising environment like no other - Our technology and services power advertising in Apple News and Search Ads in the App Store. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy!

As a Data Scientist, you're passionate about finding patterns in data that can point to opportunities and insights. You thrive on cross-functional alignment, pay attention to minute details and don't stop short of the finish line despite all the challenges you face. It's imperative to tailor your message to a wide range of audience - senior management, product management, marketing, finance and business.

Key Qualifications

• Do you have 7+ years of hands-on experience in the Web and business analytics arena? Experience in digital advertising industry or related field a plus
• Partner effectively with cross-functional partners to translate business needs into analytical requirements
• Ability to communicate the results of analyses in a clear and effective manner with product and leadership teams to influence the overall strategy of the product
• Ability to operate comfortably and optimally in a fast-paced, highly cross-functional, constantly evolving environment. Familiarity with agile methods such as scrum
• Experience in exploratory data analysis and familiarity with advanced quantitative analysis and statistical techniques
• In-depth knowledge of data analytics technologies such as SQL and visualization tools especially Tableau and Python viz packages
• Strong knowledge of Python and working knowledge of Hadoop, Spark.
• Statistics background and ability to develop custom data models and algorithms
• Fluency in Mandarin Chinese is a plus!

At Apple, we work every day to create products that enrich people's lives. Join us... to do your life's best work.

Education & Experience

Masters or Bachelors degree in a quantitative field of study including statistics, math, economics, operations research or a related discipline

Additional Requirements