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Apple Predictive Modeling Engineer - People Processes United States, Texas, Austin 623216454
02.05.2024
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Key Qualifications
- Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
- Proficiency in writing SQL queries involving database joins and analytical/window functions
- Ability to implement data science pipelines, analyses, and applications in a programming language such as Python or R
- Prior experience working with employee data or HR systems
- Experience with natural language processing (sentiment, topic identification, summarization, entity extraction) and network analysis a plus.
- Ability to translate business processes and data into an analytic solution.
- Ability to comprehend and debug complex systems integrations spanning multiple toolchains and teams
- Ability to extract meaningful business insights from data and identify the stories behind the patterns
- Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
- Creativity to engineer novel features and signals, and to push beyond current tools and approaches
Education & Experience
Ph.D. in I-O Psychology, Economics, Operations Research, Computer Science, or Statistics. Or a Ph.D. in related scientific or technical field (I-O Psychology, Economics, Engineering, Physics, etc.) with a data science fellowship or prior professional experience as a data scientist. Or MS with 5+ years of professional experience applying data science to real-world business problems
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