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# ML Data Scientist - Batteries

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Salary:** $147,400.0 - $272,100.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Association Rule Learning, Big Data, Databases, Data Mining, Data Visualization, Python (Programming Language), Machine Learning, Data Driven Tests, Scripting, Pytorch, Information Technology, Data Analytics, Data Pipelines
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=471d5bc98e99f1bd

## About the Role

Master's degree, PhD or equivalent job-related experience in Mechanical Engineering, Material Engineering, Electrical Engineering, Computer Science or relevant

Proven experience in statistical analysis, data mining, and causal inference methodologies

Advanced proficiency in big data processing, PyTorch, visualization and automated workflow

Hands-on experience with machine learning algorithms including ensemble methods, probabilistic networks, association rules, clustering, regression, neural networks, and large language mode

Strong analytical problem-solving abilities to address urgent ad-hoc requests by integrating engineering knowledge with advanced analytics and ML techniques across diverse data sources

Demonstrated expertise in anomaly detection techniques for time series and multivariate dataset

Self-motivated contributor who proactively collaborates across functions and develops innovative solutions beyond existing toolsets

Excellent communication skills with ability to explain complex technical concepts (particularly causal inference) to diverse audiences including data scientists, design engineers, and business stakeholders

Battery technology experience strongly preferred

Minimum Qualifications

BS degree in Mechanical Engineering, Material Engineering, Electrical Engineering, Computer Science or relevant

Experience with statistical analysis, data mining, or relevant

Experience using Python, R, or similar scripting languages

## Description

The Battery Analytics team transforms data into actionable insights by combining deep battery domain expertise with statistical, quantitative, and AI/ML methodologies.","responsibilities":"Analyze multi-source data (factory, laboratory, field, and failure data) and collaborate with cross-functional teams to resolve battery performance issues

Navigate Apple's database ecosystem to efficiently extract representative datasets while maintaining data quality standards for data-driven analysis

Design and implement robust data processing workflows; apply advanced modeling techniques with emphasis on causal analysis leveraging battery physics knowledge

Build comprehensive time-series and battery cycling data visualization and analytics capabilities

Conduct comparative studies, identify early warning signals, and lead failure analysis deep-dives

Drive resolution of anomalous forecasts for critical KPIs including battery swell, impedance, and capacity fade


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