Apple Ads is looking for an experienced leader to help define and plan its longer-term vision, working with Internet-scale data to drive strategy through in-depth quantitative analysis, reporting, and model building.
Requirements
- Hands-on experience in machine learning, advanced quantitative methods, and model development within exploratory data science, including regression, classification, clustering, and time-series analyses.
- Ability to write code to query and transform both unstructured and structured data, while also serving as a mentor to your team in these areas!
- Programming skills in Python and SQL.
- Comfort with advanced analytics and data visualization tools such as Pandas, R, Spark, and Tableau
- Experience working with modern data technologies.
- Familiarity with database modeling and data warehousing principles
- Must be able to guide and lead analysis and model development efforts across teams of data scientists
Responsibilities
- Drive creation of analytics tools and data products to enable insights discovery at lightning speed and scale
- Automate and scale existing analysis methods.
- Institute innovative approaches on modeling and analysis frameworks
- Design and evaluate experiments that help define opportunities for increased usage, improved marketplace performance and greater customer happiness
- Understand advertiser engagement, build predictive modeling processes, and find stories based on signals of advertiser success or failure/churn
Other
- 1+ years of experience in analytics and/or data science teams
- Strategic mentality with the ability to condense complex concepts, analysis, and models into actionable, growth marketing data products and strategies
- Ability to create order from complex, poorly-structured problems
- Manage strategic relationships with our partners (e.g., App Store, future businesses)
- Translate insights into narratives that we codevelop with our stakeholders (tension: truth vs story)
