Apple Inc.
Sr. Data Scientist - Marketplace, Ad Platforms
Apple Inc., Cupertino, California, United States, 95014
Sr. Data Scientist - Marketplace, Ad Platforms Software and Services
Experience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below.DescriptionOur platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy. The Ad Platforms Data Insights team is seeking a Senior Data Scientist to join in developing the next generation of analytical solutions in collaboration with Engineering, Product, Sales, Marketing, and Finance. In this role, you'll work as a key member of a data-centric team to drive the exploration, analysis, development, execution, and measurement solutions that are critical to running and growing the Ads marketplace. Responsibilities include turning the huge amounts of data generated by user searches, app content, and App Store context into business insights. Insights that'll improve the customer experience for the end-user as well as drive discovery and efficiency for app developers. You'll dig in and get into the details. The theory behind the techniques is just the beginning. You'll be working on projects where practical applications get applied to real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have a direct and measurable impact.Minimum Qualifications6+ years of relevant experience in a data science roleProgramming skills in Python and SQL, and familiarity with machine learning, statistical and causal inferences packages such as scikit-learn, xgboost, PyTorch, SciPyDemonstrated experience in applying statistics and machine learning to generate clear actionable insightsComfortable with a variety of data stores such as Hadoop, and SnowflakePossess exceptional communication skills to share analyses in a clear and effective manner to technical audiences and executive leadershipAbility to partner with engineering, meet the data needs of the business, finding creative analytical solutions and develop initial prototypes to address messy business problemsAbility to operate comfortably and optimally in a fast-paced and constantly evolving environment.Key QualificationsPreferred QualificationsExperience in the mobile advertising industry or related fieldWorking knowledge of Causal ImpactFamiliarity with job orchestration frameworks such as AirflowAbility to build visualizations and enable broader consumption of insights and tools
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Experience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below.DescriptionOur platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy. The Ad Platforms Data Insights team is seeking a Senior Data Scientist to join in developing the next generation of analytical solutions in collaboration with Engineering, Product, Sales, Marketing, and Finance. In this role, you'll work as a key member of a data-centric team to drive the exploration, analysis, development, execution, and measurement solutions that are critical to running and growing the Ads marketplace. Responsibilities include turning the huge amounts of data generated by user searches, app content, and App Store context into business insights. Insights that'll improve the customer experience for the end-user as well as drive discovery and efficiency for app developers. You'll dig in and get into the details. The theory behind the techniques is just the beginning. You'll be working on projects where practical applications get applied to real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have a direct and measurable impact.Minimum Qualifications6+ years of relevant experience in a data science roleProgramming skills in Python and SQL, and familiarity with machine learning, statistical and causal inferences packages such as scikit-learn, xgboost, PyTorch, SciPyDemonstrated experience in applying statistics and machine learning to generate clear actionable insightsComfortable with a variety of data stores such as Hadoop, and SnowflakePossess exceptional communication skills to share analyses in a clear and effective manner to technical audiences and executive leadershipAbility to partner with engineering, meet the data needs of the business, finding creative analytical solutions and develop initial prototypes to address messy business problemsAbility to operate comfortably and optimally in a fast-paced and constantly evolving environment.Key QualificationsPreferred QualificationsExperience in the mobile advertising industry or related fieldWorking knowledge of Causal ImpactFamiliarity with job orchestration frameworks such as AirflowAbility to build visualizations and enable broader consumption of insights and tools
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