Apple · 1 day ago
Data Scientist - Battery
Cupertino, CA
Full-time
Onsite
Mid LevelApple is a leading technology company known for its innovative products, and they are seeking a Data Scientist to join their Battery Engineering group. The role involves analyzing multi-source data to improve battery performance and collaborating with cross-functional teams to develop new battery technologies.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
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
Develop AI/ML capability for battery engineering leveraging state-of-the-art GenAI progress
Qualification
Required
BS degree in Mechanical Engineering, Material Engineering, Electrical Engineering, Computer Science or relevant
Experience with statistical analysis, data mining, or relevant
Preferred
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, visualization, and automated workflow development using Python, R, or similar scripting languages
Hands-on experience with machine learning algorithms including ensemble methods, probabilistic networks, association rules, clustering, regression, neural networks, and large language models
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
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
Founded in 1976
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase