Data Scientist - Comm Apps
Santa Clara Valley (Cupertino), California, United States
Software and Services
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. We’re looking for a data scientist to help us understand and improve quality, performance, and reliability for iMessage, FaceTime, Apple Watch transport, HomeKit, Apple Push Service, and more! On our team, you will develop solutions to bring order to unstructured data using modeling techniques. You will have a passion for applied research with expertise in pattern mining, anomaly detection, predictive modeling, classification, and optimization. You will take end-to-end responsibility for translating customer needs into analytical solutions across feature engineering, implementation, model training, and reporting. This role requires handling multiple assignments and being self-driven. You also need to demonstrate initiative and be able to take ownership of a problem area. We are seeking someone who is comfortable working in an exciting environment with rapidly changing priorities, and someone creative and inspired to invent new ways to analyze and build better products.
- You have advanced statistics, modeling, and data visualization experience.
- You are highly self-motivated and able to operate with significant autonomy.
- You will help us define and grow the data science role in our team.
- You possess excellent collaborative skills, with strong written and verbal communication.
- You can demonstrate your ability to transform raw data into actionable information.
Please join us in strengthening the Apple ecosystem and bringing users together with innovative communications technologies. The Communication Applications team is a passionate collection of engineers who are looking for a highly motivated engineer with aspirations to build powerful products that change our customers lives, cultivate learning, and lead cross-functional efforts to success. This team’s products are deeply important to Apple users and our success depends on partnership, technical leadership, and diverse experiences!
Education & Experience
Degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related discipline