Demographic Data Scientist

Apple Inc.; Austin (TX); On-site; USD 85,000 - 110,000; Full time

Job summary

Apple Inc. is looking for a demographic data scientist to join a dynamic team in Austin, Texas. This role focuses on utilizing statistics and machine learning to provide insights into human populations.

The ideal candidate will perform data analyses, create custom visualizations, and collaborate with cross-functional teams. Applicants should possess an analytical degree, strong programming skills, and an enthusiasm for team collaboration.

Qualifications

• 3 years experience in analytics or a PhD in a relevant field.
• Deep knowledge of statistical modeling and linear algebra.
• Programming skills in Python, R, or Matlab.

Responsibilities

• Write scripts to clean and verify data integrity.
• Conduct data exploration and statistical analyses.
• Create visualizations to help decision makers.

Skills

Statistical analysis

Data visualization

Programming in Python or R

Collaboration and teamwork

Education

MS in an analytical field

PhD in a related field

Tools

Statistical software

Visualization tools

Job description

Austin, Texas, United States Machine Learning and AI

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.

Responsibilities

• Write scripts to pre‑process data to clean and verify integrity of data from various sources and formats.
• Investigate new sources that can extend and improve insights.
• Conduct data exploration on datasets, QA/QC, visualization, statistical and data analyses, and mathematical modeling.
• Create custom visualizations that help decision makers quickly understand the data.
• Collaborate 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 future.
• Create statistical (or ML) models to understand human variation in populations.

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 into these data types.

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.

Learn about accessibility in Apple’s workplace.

Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.