Machine Learning Engineer People Analytics

At Apple our greatest resource is our people and the People Analytics Team is dedicated to ensuring Apples employees are able to do the best work of their lives. nnOur 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. nnAs a Machine Learning Engineer on Apples People Analytics Team you will employ predictive modeling statistical analysis and advanced analytical techniques to support solutions for talent management employee surveys compensation and 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

Design data science / machine learning approaches applying tried-and-true techniques or developing custom algorithms as needed by the business with data engineers and platform architects to implement real-time and batch decisioning solutions in operational and business metric health by monitoring production decision metrics to measure performance of analytics solutions and regularly communicate results to business partners and new technologies and methods across machine learning data engineering and data visualization to improve the technical capabilities of the team.

MS with 5 years of professional experience applying data science to real-world business problemsnPractical experience with and theoretical understanding of algorithms for classification regression clustering and anomaly detectionnProficiency in writing SQL queries involving database joins and analytical/window functionsnAbility to implement data science pipelines analyses and applications in a programming language such as Python or RnPrior experience working with employee data or HR systemsnExperience with natural language processing (sentiment topic identification summarization entity extraction) and network analysis a to translate business processes and data into an analytic to comprehend and debug complex systems integrations spanning multiple toolchains and teamsnAbility to extract meaningful business insights from data and identify the stories behind the patternsnExcellent presentation skills distilling complex analysis and concepts into concise business-focused takeawaysnCreativity to engineer novel features and signals and to push beyond current tools and approachesn

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 scientistnExperience working with employee data or HR systems