Santa Clara Valley (Cupertino) , California , United States
Apple Maps is changing, and data is in the driver’s seat. Our
mission is to build the best map in the world. We work in a
fast-paced, high impact, self-driven environment where data
scientists are given runway to own big projects and drive impact
across the Maps organization. If you’re interesting in being a
critical part of shaping Apple Maps, read on!We are looking for a
talented Data Scientist Manager to join our Maps Evaluation Data
Science Team. We are a cross- functional group of Data Scientists
and subject matter experts focusing on the evaluation of Maps
services and features. Our group works directly with the
engineering teams responsible for search, routing, recommendation
and other algorithms, and tackles many types of problems, including
design of experiments, AB testing, exploratory data analysis,
machine learning and data mining, etc.The role requires owning a
variety of existing tools, developing new ones, and finding ways to
improve the quality of measurement. Successful managers at Apple
are able to own details of projects and long term vision for the
team, and get their hands dirty with data consistently. A
successful candidate should have strong interpersonal skills and be
able to communicate findings to engineering partners, product
management teams, and executives across Apple. The candidate should
have a track record of successful mentorship to other data
Experience leading projects or teams with a clear track record
Experience with data analysis and visualization.
Experience with statistical programming (e.g., R, Python) and
database languages (e.g., SQL).
Ability to work independently, as well as collaborate with
Ability to translate hard product goals and business problems
into data science problems, draw conclusions from data, and
Ability to automate analytic tasks.
Excellent written and verbal presentation skills.
Description Things to expect in this role:Build data products
(data sets, analysis, models etc.) and tools to drive hypothesis
generation and decision making in partnership with engineering and
product management teams.Create actionable metrics and design
effective experiments.Develop models/analysis to mine large volume
of data, extract insights and explore opportunities
forimprovements.Automate analysis and pipelines via SQL and
Python/Scala based ETL frameworks.Communicate insights to
engineering, product management, and executive teams, and drive
product decisions with data.
Education & Experience
MS or PhD inStatistics, ComputerScience, Physics, Operations
Research, or similar quantitative domain. Alternatively, a
comparable industry career with significant experience in data
5+ years working experience delivering and scaling highly
successful and innovative experiments and data
Experience with AB testing.
Experience with big data using technologies like Hadoop, Hive
Experience with Scala/Java.
Experience with information retrieval and/or the
Experience with large scale machine learning algorithms.
Experience with human judgement platforms (e.g .MTurk).
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
(Opens in a new window) .