Demographic Data Scientist

Demographic Data Scientist

Summary

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. You’ll 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.

Description

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.
This 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.

Minimum Qualifications

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 Science.
Equipped with deep knowledge of statistical analysis and modeling tools, along with a strong foundation in linear algebra, geometry, optimization, or inference techniques.
Strong programming skills in a scripting language (Python, R, Matlab, etc), using these tools to model and visualize data to enable data-driven decision making.
Possess excellent communication and interpersonal skills, attention to detail, patience, and aesthetic sensibility.
Demonstrated experience working in teams and collaborating with peers, with a willingness to solicit input and accept feedback.

Preferred Qualifications

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

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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Apple accepts applications to this posting on an ongoing basis.