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Apple AIML - Sr Data Scientist Siri Apple Intelligence ML Innovation 
United States, California, Cupertino 
870887342

10.08.2024
Description
You will be responsible to:
Minimum Qualifications
  • Proven experience as a data science practitioner.
  • Proficiency with applying quantitative methods to structured & unstructured data for exploratory data analysis, pattern recognition, insights generation, metrics development, and scaling analytical tools.
  • Experience with understanding the complexity of user behavior for AI based product experiences, as well as designing, analyzing, and interpreting A/B experiments.
  • Strong programming skills in data manipulation & processing including SQL, python, and ideally software engineering experience.
  • Self-motivated and curious with creative and critical thinking capabilities and drive to figure out and improve how things work.
  • High tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
  • Excellent verbal and written communications skills with demonstrated experience in authoring & presenting analytical insights via papers & presentations.
  • Proven experience in cultivating partner relationships and influencing decisions with data.
  • Master’s degree in a technical or quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics or Physics.
Preferred Qualifications
  • PhD preferred.
  • Software Engineering experience.
Pay & Benefits
  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.