At Apple, our greatest resource is our people, and the People Analytics Team is dedicated to ensuring Apple's employees are able to do the best work of their lives. \\n\\nOur team is looking for a Machine Learning Engineer who is passionate about crafting, implementing, and operating analytical and machine learning solutions that have direct and measurable impact to Apple and its employees. \\n\\nAs a Machine Learning Engineer on Apple's People Analytics Team, you will employ predictive modeling, statistical analysis, and advanced analytical techniques to support solutions for talent management, employee surveys, compensation, and recruiting.\\n\\nApple's dedication to privacy, the human-centric nature of our work, and the scale of our business present exciting challenges to traditional machine learning and data science methods. On this team, you will push the limits of existing approaches while delivering tangible business value.
As a Machine Learning Engineer on our team will engage with our business partners to understand their problems, design data-driven solutions, and produce proof-of-concept and prototype solutions. They will collaborate with data engineers and system architects to implement these solutions in a production environment, and be responsible for the ongoing analytic operation of these solution.\n
MS with 5+ years of professional experience applying data science to real-world business problems\nPractical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection\nProficiency in writing SQL queries involving database joins and analytical/window functions\nAbility to implement data science pipelines, analyses, and applications in a programming language such as Python or R\nPrior experience working with employee data or HR systems\nExperience with natural language processing (sentiment, topic identification, summarization, entity extraction) and network analysis a plus.\nAbility to translate business processes and data into an analytic solution.\nAbility to comprehend and debug complex systems integrations spanning multiple toolchains and teams\nAbility to extract meaningful business insights from data and identify the stories behind the patterns\nExcellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways\nCreativity to engineer novel features and signals, and to push beyond current tools and approaches\n
Ph.D. in I-O Psychology, Economics, Operations Research, Computer Science, or Statistics with a data science fellowship or prior professional experience as a data scientist\nExperience working with employee data or HR systems
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: a99302d5c2e9c0776f0fb3929ea568c7
- Posted 18 hours ago
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