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Apple Data Scientist Ads Sales Analytics United States, Texas, Austin 500042919
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Description
A successful candidate will have deep experience in applied analytical methods, experience building reporting dashboards, and using those methods and tools to drive key business insights. The role requires both a broad knowledge of existing data science techniques and strong business insight. You’ll be working on projects where tools and methods are used to drive real-world business value, using creativity to invent and customize when necessary. - Drive the generation of insights and identify trends from large, complex data in support of our global sales organization - Support the rollout of sales strategies by building foundational data sets and analyses, incorporating a focus on measuring outcomes and success - Partner cross-functionally within Advertising Platforms to ensure proper data quality, availability and governance
Minimum Qualifications
- Education requirement: BS in data science, statistics, economics, computer science or other quantitative field
- 5+ years of relevant industry experience using analytics to solve business problems
- Fluency with SQL and Python for coding, database querying and conducting statistical analysis
Preferred Qualifications
- Advanced education degree in data science, statistics, economics, computer science or other quantitative field
- Experience in digital advertising
- Experience with A/B testing, causal inference and incrementality measurement
- Strong track record of solving complex analytical problems and positively influencing business outcomes, from leading the ideation to a proof-of-concept project to the launch of strategy
- Exceptional written and verbal communication skills with experience building stories and narratives out of data
Additional Requirements
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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