Senior Data Scientist - Business Analytics

1 Day ago • All levels

Job Summary

Job Description

The Apple Ads Data Insights team is looking for a Senior Data Scientist to create innovative analytical solutions. This role involves collaborating with Sales, Marketing, Finance, Product, and Engineering teams, delivering insights with a measurable impact, primarily for Apple News. The responsibilities include working closely with a data-centric team to execute analyses and develop analytical solutions essential for business operations. Key tasks involve monitoring business metrics, identifying key drivers, translating business requirements into actionable insights with a focus on accuracy, combining information architecture with Apple's design and performance standards to improve dashboard usability, building statistical and ML models, and leading business analytics projects through all phases. The role requires the candidate to define investigations, explore data, conduct analysis, interpret, and present results.
Must have:
  • Execute analyses as part of a data-centric team
  • Monitor business metrics and identify key drivers
  • Translate business requirements into insights accurately
  • Combine Information Architecture with Apple standards for dashboards.
  • Build statistical and ML models for business insights.
  • Lead business analytics projects from start to finish.

Job Details

The Apple Ads Data Insights team is seeking a talented Sr. Data Scientist who will innovate while developing the next generation of analytical solutions working multi-functionally with Sales, Marketing, Finance, Product, and Engineering. Analytics is a team sport, and in your role, you will be a key part of data-centric team that delivers insights that have direct and measurable impact, focused on Apple News. What makes this role exciting is the business complexity, scale, and high standards for Information Architecture, performance optimization, and actionable insights. - Working closely with other members of a data-centric team to execute on analyses as well as for contributing to the exploration, development, execution, and measurement of analytical solutions that are critical to running the business. - Monitor business metrics and identify key drivers for large scale trends and patterns in business health. - Translate ambiguous business requirements into actionable insights with an emphasis on accuracy. - Combine Information Architecture with Apple standards of design & performance to drive dashboard usability. - Build statistical models and ML models to provide business-pertinent insights. - Lead business analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results for customers

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