Data Scientist - Business Process Re-Engineering at Apple

Department: Operations and Supply Chain

Location: Austin, Texas
Level: senior
Posted: Mar 25, 2026

Description

Apple is hiring a Data Scientist to design and develop advanced analytics solutions for its supply chain using GenAI, agentic AI, and modern data science methods. The role involves translating business requirements into technical solutions, building and deploying machine learning models, creating dashboards and self-service tools, monitoring solution performance, and presenting insights to leadership. Candidates need a relevant PhD or MS with substantial industry experience, supply chain forecasting or optimization experience, and expertise in Python, SQL, cloud platforms, MLOps, and advanced AI/ML techniques.

Required Skills

GenAI
Agentic AI
Python
SQL
MLOps
Forecasting
Anomaly detection
Data visualization
Cloud platforms
Docker
Kubernetes

Additional Information

Minimum Education: PhD in Computer Science, Statistics, Applied Math, Data Science, Operations Research, or a related field with 5+ years of industry experience; alternatively, an MS in a related field with 8+ years of hands-on industry experience.
Required Previous Experiences: Experience in forecasting, optimization, or simulation within supply chain or operations domains.
Experience building and deploying large-scale data science and machine learning models with MLOps, model versioning, and CI/CD.
Experience prototyping software in Python and using advanced SQL for data manipulation.
Experience building scalable GenAI and agentic solutions using MCP servers, agents, and related skills.
Experience with data acquisition, data mining, data visualization, and AIML libraries such as Scikit Learn, TensorFlow, and PyTorch.
Experience prototyping software and implementing data science pipelines in Python, Java, or C++.
Experience adopting emerging technologies such as LLMs, RAG, and vector databases and building functional prototypes.
Experience owning and delivering end-to-end projects from scoping through deployment and post-launch iteration.
Proficiency with cloud data platforms, relational databases, interactive front-end frameworks, and containerization or orchestration tools.
Working knowledge of predictive modeling, classification, regression, clustering, and anomaly detection.
Preferred Qualifications: Meticulous attention to detail, data integrity, and data wrangling.
Ability to deliver end-to-end projects.
High intellectual curiosity and business acumen.
Ability to work autonomously in ambiguous environments.
Strong interpersonal and collaboration skills.

About Apple

Apple

technology industryCupertino, CA

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Customers and case studies

See customers and case studies