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!

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.

At least 5 years of experience in statistical / machine learning theory & applications, in particular with experimentation techniquesExperience designing, building, and shipping productsAbility to tell stories with data & educate teams effectively to act on recommendationsHands-on experience with managing and monitoring data collection and analytics pipelines at the application levelExperience with object oriented programming languages like Scala / PythonExperience with SQL / NoSQL databases