We are looking for an experienced data scientist to build experimentation platforms to empower Apple engineers in delivering great user experiences. We are addressing key challenges to accelerate the adoption of ML across all the OSes and Apple products/services operating at the scale of 2+ billion devices. Our work is complex, challenging and highly visible. Collaborate with OS, data, and full-stack engineers to build data products that provide reliable and timely insights for Apple's applications & services. Does this interest your creative and development chops? If so, come join our team!
Description
You'll be responsible for enhancing the experimentation platform with statistical tools & techniques that will be used by all teams across Apple. You'll partner with these teams to drive experiment automation & methodology improvements. For example, build data service to analyze telemetry from billions of devices in a timely fashion and deliver data-driven insights to inform product launches. In this role, you will collaborate with cross-functional partners and customers across Apple to build platform roadmap for next 2-3 years. 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.
Minimum Qualifications
- At least 5 years of experience in statistical / machine learning theory & applications, in particular with experimentation techniques
- Experience designing, building, and shipping products
- Ability to tell stories with data & educate teams effectively to act on recommendations
- Hands-on experience with managing and monitoring data collection and analytics pipelines at the application level
- Experience with object oriented programming languages like Scala / Python
- Experience with SQL / NoSQL databases
Preferred Qualifications
- At least 8 years of experience in statistical / machine learning theory & applications, in particular with experimentation techniques
- Experience designing, building, and shipping products
- Ability to tell stories with data & educate teams effectively to act on recommendations
- Hands-on experience with managing and monitoring data collection and analytics pipelines at the application level
- Experience with object oriented programming languages like Scala / Python
- Experience in building large scale data science pipelines and distributed systems using technologies like Spark/Kafka/Hive
- Experience with SQL / NoSQL databases
- MS/PhD (or equivalent) in CS/data Science/mathematics/statistics or other scientific
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. Learn more about your EEO rights as an applicant.
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