Demographic Data Scientist

Apple is currently seeking an enthusiastic team player to join a dynamic and collaborative group as a demographic data scientist focusing on human populations using statistics computer programming and machine learning within a human factors design team. Youll have the unique opportunity to contribute to the development and continuing improvement of Apple hardware products by distilling data into actionable and intuitive visualizations from human interaction perspective. As an Austin-based team member you will collaborate closely with Cupertino-based cross-functional team members.

As a member of this team-oriented collaborative group you will be working on the latest most innovative Apple products together with many cross-functional teams. nThis role requires strong collaboration and curiosity in the application of different methods to ambiguous problems. Success in this role means being fluent in using statistics and visualization tools to answer specific questions about datasets regardless of sample size and a passion about communicating solutions to dynamic problems through presentations.

Write scripts to pre-process data to clean and verify integrity of data from various sources and new sources that can extend and improve data exploration on datasets QA/QC visualization statistical and data analyses and mathematical custom visualizations that help decision makers quickly understand the and consult with cross-functional teams to help identify trends in their data or to build tools that will enable easier analysis and visualizations in the statistical (or ML) models to understand human variation in populations

MS 3 years of experience or PhD in an analytical field such as (but not limited to) Quantitive Social Sciences (Sociology Education Economics Political Science) Computer Science Engineering Statistics Geographic Information Systems Applied Math Physics Biological Sciences Climate or Environmental with deep knowledge of statistical analysis and modeling tools along with a strong foundation in linear algebra geometry optimization or inference programming skills in a scripting language (Python R Matlab etc) using these tools to model and visualize data to enable data-driven decision excellent communication and interpersonal skills attention to detail patience and aesthetic experience working in teams and collaborating with peers with a willingness to solicit input and accept feedback.

Experience making inferences from small-scale datasetsnExperience with population modeling inference weighting and simulation techniques (e.g. Monte Carlo methods) to understand and estimate variation and with statistical methods such as Bayesian methods to identify trends and anomalies in multivariate and/or medium-sized and/or large-scale with human anthropometric biometric or perception/preference data and/or a willingness to delve deeper in to these data using generative AI tools in workflows.