Machine Learning Data Scientist, Productivity Apps
Apple
Full-time
On-site
Cupertino, California, United States
As a Machine Learning Data Scientist, you’ll be responsible for providing actionable insights to our research and post training teams that drive improvements to our core metrics and benchmarks. Your contributions will be critical to our success in delivering high-quality features to our customers.
- At least 3 years experience with each of the following:
- Contributing actionable insights to drive performance improvements in production environments.
- Statistical analysis and modeling, including correlation analysis, clustering methods, probability theory, principal component analysis, outlier detection, and data visualization.
- Using ML approaches for statistical analysis.
- Bachelor’s degree required in Computer Science, Machine Learning, Statistics fields, or a related subject area, or we may consider an equivalent industry experience.
- Ability to distill complex data analysis into clear, user-focused recommendations and visualizations that drive product enhancements.
- Proficiency with Python and numeric/statistical libraries like pandas, numpy, scipy, etc.
- Strong English communication skills (both written and verbal).
- MS or PhD in Computer Science, Machine Learning, Statistics fields, or a related subject area.
- Understanding of how modern deep learning models work and how they’re applied to solve user problems.
- Experience with distributed computing frameworks (e.g., Spark, Hadoop) for large-scale data processing.
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and ML deployment tools.