Senior Data Scientist - Business Analytics

1 Day ago • All levels • $175,800 PA - $312,200 PA

Job Summary

Job Description

The Senior Data Scientist will work with the Apple Ads Data Insights team to develop analytical solutions. The role involves collaborating with Sales, Marketing, Finance, Product, and Engineering to deliver data-driven insights for Apple News. Responsibilities include defining collaboration models, translating business requirements into actionable insights, designing dashboards and data products, and applying statistical and ML models. The candidate will lead business analytics projects from investigation to presentation.
Must have:
  • Lead partnerships with cross functional teams to define collaboration.
  • Translate ambiguous business requirements into actionable insights.
  • Design dashboards and data products to help executive leadership.
  • Apply statistical models and ML models to provide insights.

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, focussed on Apple News. What makes this role exciting is the business complexity, scale, and high standards for Information Architecture, performance optimization, and actionable insights. - Lead partnerships with cross functional teams to define collaboration model and outline business needs into data and analysis requirements. - Translate ambiguous business requirements into actionable insights with an uncompromising emphasis on accuracy. - Envision and design an entire portfolio of dashboards, analysis notebooks and data products to help executive leadership, product leadership, sales leadership to drive the portfolio of products across Apple Ads. - Combine Information Architecture with Apple standards of design & performance to drive dashboard usability. - Apply 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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