Job Location: Culver City, CA
Summary
Posted: Oct 20, 2022
Weekly Hours: 40
Role Number:200433829
We will consider the following Apple campus locations: Culver City CA, San Diego CA or Seattle WA. We’re idealists. We are inventors. We are forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards forward-thinking, creative thinking and hard work. And none of us here would have it any other way. Does an exciting, dynamic, and fast-paced environment catch your attention? Enjoy puzzles and determining solutions that are not obvious? Terrific! Consider joining our team! The App & Services Engineering team is looking for an outstanding Data Scientist who will focus on applied research, modeling pipeline, and development of innovative components to enhance user experience.
Key Qualifications
- Superb coding skills and hands-on experience with Big Data
- Proficient in writing code in one of the following languages: C++, R, Java, Python, Perl, in addition to Hadoop experience (MapReduce, Hive, Spark SQL), and SQL
- Strong product intuition, data analysis skills, as well as business presentation skills to share your findings
- Comfortably with large sets of data using groundbreaking tools
- Familiar with data structure and bash scripting for data manipulation
- Good understanding of predictive modeling for classification, regression, clustering
- Practical experience solving real-world problems using creative methods
- Task oriented, able to lead and implement analytics efforts from start to finish
- Above all, we seek a phenomenal teammate with excellent interpersonal skills, and a self starter
Description
Anticipate facing a variety of problems to solve, and you will be equipped with strong analytical and quantitative skills to take on these of challenges in sophisticated environments. Your creativity and critical thinking skills will be put to good use, deconstructing problems and transforming your insights into data backed recommendations. In this role, you will perform the following: Work with large volumes of data; extract and manipulate large datasets using tools such as Spark SQL, command line and scripting languages. Analyze data covering a wide range of information from user profile to user behavior signals and identify new engagement patterns through data mining Conduct hypothesis driven exploratory analysis, build feature engineering, design the best structure, and select the most appropriate modeling techniques. Design, develop, validate and maintain big data-driven predictive models, tools and pipelines to improve user engagement using latest technologies in machine learning, user pattern recognition, and data modeling Collaborate with product, engineering, business groups to translate a business question to a data science problem and formulate innovative solutions to experiment and implement advanced data mining techniques. Communicate sophisticated concepts and the results of the analyses in a clear and effective manner to senior management.
Education & Experience
Additional Requirements
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