Senior Data Scientist, Ad Platforms-Data Insights

Apple
Apple

Job Overview

Key Qualifications

  • 6+ years of recent experience in a data science role. Preferably experience in the digital advertising industry or related field
  • Ability to operate comfortably and effectively in a fast-paced, highly multi-functional, rapidly changing environment
  • Programming skills in Python and SQL, and comfortable with advanced analytics tools such as R, Spark, and Tableau. Experience with the Hadoop infrastructure
  • 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 with engineering partners to meet the data needs of the business, translating business needs into analytical requirements
  • Experience in quantitative analysis including regression, classification, clustering, and time-series analyses
  • Confirmed experience with end to end implementation of a model prototype specifically processing, feature engineering, and model outputs
  • Comfortable working with modern data technologies and familiarity with database modeling and data warehousing principles
  • Practical experience working with and conducting experiments on large datasets!
  • Description

    – Support Product Marketing, Partner Development, and the Executive Team with analytics for product performance and customer insight- Forecast performance and yield by customer cohorts; create propensity models to drive marketing and sales strategies – Empower the global Partner Development teams with insights to advise and fulfill their strategic objectives and goals- Quantify the impact of product, sales, and marketing initiatives on customer satisfaction and future behavior- Design and evaluate experiments that help define opportunities for increased usage, improved marketplace performance, and greater customer happiness- Monitor usage metrics and provide business-based explanations for large scale trends and patterns in customer lifecycle behavior. Detect and surface anomalies- Develop reusable models and assets working closely with Data Technology team to ensure scalability and industrialization as models move into production- Lead business analytic projects through all phases, including defining investigations, exploring data, analysis, interpretation, and presentation of results and work you’re doing We’re looking for a hardworking and passionate person to join this amazing team, if this resonates, we’d love to hear from you!

    Education & Experience

    Background in computer science, mathematics, or similar quantitative field with a minimum of 5 years professional experience. Graduate degrees in these fields a plus

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