At Apple, you’ll accomplish truly phenomenal things. The SWE Data Science team analyzes and produces insights from diagnostic and usage data from hundreds of millions of devices every day from all over the world. We’re seeking an experienced and passionate Manager for our Data Science Team, who are dedicated to harnessing the power of data science to drive innovation and tackle complex problems while prioritizing user privacy. If you have a passion for impactful insights from real world data, developing a team of bright data scientists, and are dedicated to improving customer experience, join us!

As the Manager of the SWE Data Science team, you will oversee the team’s efforts to collect, analyze, and interpret vast amounts of data while ensuring compliance with relevant regulations (e.g., GDPR, DMA) and company policies. The insights are used to improve Apple’s products and services, to inform strategic directions, and to improve user experience. We are a fast-pace and high-functioning team of Data Scientists that use the latest Big Data technologies to tackle complex, large-scale problems using immense quantities of collected data. This team works closely with core operating system, application development, and other cross-functional teams across Apple’s platforms. The ideal candidate is someone who is comfortable working in an exciting environment with rapidly changing priorities while fostering a culture of innovation within the team by encouraging experimentation, diverse perspectives, learning from failure, and continuous improvement. We work collaboratively to improve our software and customer experience, and we have fun while doing it!

BS in Statistics, Data Mining, Machine Learning, Analytics, Applied Math, Computer2+ years management experience leading Data Analytics teamsTrack record of ensuring high levels of team and customer success and satisfaction, ideally in the area of Big DataAbility to develop team members to achieve their professional goals while committing to diversity and equityTechnical proficiency in advanced statistics, modeling knowledge, data visualization (e.g., Tableau), relational databases, and/or Python.Experience with applying Big Data technologies (e.g., MapReduce, Hadoop, Spark) to large quantities of data