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Apple Senior Data Scientist - Product Analytics Apple Ads 
United States, Texas, Austin 
795808640

Yesterday
A successful candidate will have deep experience in applied methods (predictive modeling, classification, product feature impact measurement), 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 mining algorithms, strong business sense, and creativity to invent and customize when necessary. You’ll work closely with a broad range of data professionals as well as business leaders. You’ll be working on projects where tools and methods are used to drive real-world business value. - Work closely with the product team to identify and size new opportunities, develop data requirements, establish appropriate KPIs, and establish proper reporting.
  • 5+ years experience in a Data Science role
  • Programming skills in Python and SQL, and experience with AWS, Snowflake, Spark and Tableau.
  • 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 work effectively with engineering partners to meet the data needs of the business, translating business needs into analytical requirements.
  • Experience in advanced quantitative analysis including regression, classification, clustering, and time-series analyses.
  • Comfortable working with modern data technologies. Familiarity with database modeling and data warehousing principles.
  • Practical experience working with and conducting experiments on large datasets.
  • 8+ years experience in a Data Science role
  • Work experience in digital advertising industry and/or product analytics. with hands on experience working with clickstream data and/or A/B experimentation.