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Apple Senior Data Scientist, Proactive in Cupertino, California

Senior Data Scientist, Proactive

Santa Clara Valley (Cupertino),California,United States

Machine Learning and AI

  • Proficiency in data science, machine learning, and analytics, including statistical data analysis and A/B testing. Experience crafting, conducting, analyzing, and interpreting experiments and investigations.

  • Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.

  • Capable of driving projects of varying sizes and scopes — some will take weeks and some months — and you will need to know when to dive deep.

  • Good judgment balancing art and science when visually communicating information (Tableau, Superset, ggplot, D3).

  • Strong communication skills and the ability to naturally explain difficult technical topics (especially causal topics) to everyone from data scientists to engineers to business partners and leaders.

  • Strong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala).

  • 8+ years of relevant work experience.


The Proactive Intelligence organization is looking for an experienced and highly motivated data scientist! You will partner across engineering groups building on-device intelligence, and evangelize a culture of using data to measure, understand, and improve our products and features. You have a background that fuses data science, engineering, and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products. IN THIS ROLE, YOU WILL: Research and develop evaluation methods to improve the quality of Proactive’s user-facing products. Drive the generation of insights from raw, unstructured data to improve existing features and explore future directions. Develop extensive knowledge of existing metrics, advocating for changes where needed. Work closely with engineering teams to guarantee the consistency and validity of metrics across Proactive. Conduct analysis that includes data gathering and requirement specifications, processing, analysis, and report generation. Drive weekly metrics reports, and quarterly metrics presentations, with Apple’s leadership teams. Tackle difficult, non-routine analysis problems, applying advanced analytical methods as needed. Partner with your peers to build and prototype analysis pipelines that provide insights at scale. Evangelize adoption of best practices and build greater awareness of common data analysis pitfalls.

Education & Experience

Advanced degree (MS or PhD preferred) in a quantitative field such as Statistics, Operational Research, Bioinformatics, Economics, Psychology, Computer Science, Sociology, Mathematics, Physics, or a similar quantitative field.

Additional Requirements

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