You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.
5 years of relevant work experience. Advanced degree in a quantitative field such as Statistics, Operational Research, Bioinformatics, Economics, Psychology, Computer Science, Sociology, Mathematics, Physics, or similar quantitative field.
Proficiency in data science, machine learning, and analytics, including statistical data analysis. Experience crafting, conducting, analyzing, and interpreting experiments and investigations, especially on data quality, evaluation and risk assessment.
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).
Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. 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.
Proven ability to collaborate effectively across functions and work well within a team.
Capable of driving projects of varying sizes and scopes - some will take months and some weeks — and you will need to know when to dive deep.
Worked with methods that address accuracy and variability in human annotation data.
Ability to learn new technology and skills to accommodate changing working requirements.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.