Data Scientist, People Analytics

Austin, Texas, United States
Software and Services


Role Number:200146746
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 life. Our team is looking for a data scientist who is passionate about crafting, implementing, and operating analytical solutions that have direct and measurable impact to Apple and its employees. In this role you will employ predictive modeling and statistical analysis techniques to build end-to-end automated solutions for recruiting, workforce management, employee sensing, and compensation. You will engage with our business partners to understand their problems, design data-driven solutions, and produce proof-of-concept and prototype solutions. Through collaboration with engineers and system architects, you will implement these solutions in a production environment, and be responsible for their ongoing analytic operation. Apple'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 techniques. On this team, you will push the limits of existing data science methods while delivering tangible business value.

Key Qualifications

  • Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
  • Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark
  • Ability to implement data science pipelines, analyses, and applications in a programming language such as Python or R
  • Experience with natural language processing (sentiment, topic identification, summarization, entity extraction) a plus
  • Experience with software engineering methodologies a plus
  • Ability to translate business processes and data into analytic solutions
  • 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


• Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem • Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions • Ensure operational and business metric health by monitoring production decision points • Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes • Develop performance indicators to measure performance of analytics solutions, and regularly communicate results to business partners and executives • Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team

Education & Experience

• Ph.D. in Computer Science, Machine Learning, Statistics, Operations Research, or Ph.D. in related scientific or technical field (Math, Engineering, Economics, IO Psychology, Physics, etc.) with a data science fellowship • MS in related field with 3 years of professional experience applying data science to real-world business problems

Additional Requirements