Apple
Applied Scientist
$175K–$308K
Austin, Texas +1 · Full-time · Posted Apr 9, 2026
- Location
- Austin, Texas
Culver City, California - Experience
- 3+ years; no stated alternative.
- Education
- Master’s degree in Statistics, Economics, Mathematics, Machine Learning, Computer Science, Engineering, or a related technical field.
About the job
Develop and deploy causal inference and machine learning solutions to measure and improve the effectiveness of Apple Services marketing and customer acquisition.
What you'll do
- Build scalable causal inference products and analyze large-scale data to assess marketing performance.
- Translate business needs into technical solutions with product, data science, and engineering partners.
- Evaluate new causal inference and AIML methods and uphold engineering, MLOps, privacy, and security practices.
What they ask for
- Master’s degree in a related technical field.
- 3+ years of experience in an Applied Scientist, Machine Learning, or Data Scientist role.
- Familiarity with quasi-experimental causal inference methods and hands-on experience building Marketing Mix models validated through Matched Market testing.
- Proficiency in a listed programming language; experience with cloud platforms, Spark, Docker, and MLOps tools and practices.
Nice to have
- PhD in a related field.
- Hands-on experience using Generative AI to improve productivity and generate insights.
Pay
$175,000 and $308,500 USD base salary
Tools
Python, R, SQL, Java, C++, Spark, Docker, MLOps
AI focus
Apply causal inference and AIML to marketing effectiveness, customer acquisition, and engagement; the posting also calls for understanding AIML technologies including Generative AI.
Model-written summary · the original posting is authoritative