Apple | Data Scientist – Batteries | Cupertino, CA | United States | BigDataKB.com | 2023-01-16

Role Number:200446445

• Proven working knowledge of statistical and data mining for causal analysis.
• Strong expertise in processing and visualizing and analyzing big data as well as automating processes using a scripting language (Python, R, etc.).
• Solid understanding of Python, JMP, SQL, and Tableau.
• Experience in machine learning algorithms including ensemble-based approaches, probability networks, association rules, clustering, regression, and neural networks.
• Strong problem-solving skills to address ad-hoc analytics requests with a sense of urgency by using engineering knowledge and analytics/ML skills based on different data sources, including time series dataset.
• Experience in anomaly detection based on time series or other datasets.
• Self-starter to interact with other functions, shown creativity to go beyond current tools to deliver the best solution to the problem.
• Effective interpersonal skills to articulate difficult technical topics, especially causal inference, to collaborators including peer data scientists, design engineers, and business partners.
• Strong analytics, statistical, and ML skills. Battery experience is preferred.

The goal of the Battery Analytics team is to turn data into useful insights using battery knowledge as well as statistical, quantitative, and machine learning technologies. – Analyze factory, field, and failure data and use engineering understanding to collaborate with cross-functional teams to resolve battery issues. – Quick study to understand end to end nature of Apple DB to organize proper sample size, proper data pull, and minimize SQA issues with maximum efficiency. – Design, implement, process and workflow and interpret data; Apply advanced technologies, for modeling enhancements, especially to drive causation with extraordinary battery mechanistic expertise. – Develop time-series data and cycling data visualization and analytics capability, conduct comparative studies, identify early signals, and lead deep dive for FA. – Lead resolution of out-of-family forecasts for KPIs such as swell, impedance, and capacity. – Solid understanding of Python, JMP, SQL, and Tableau. – Battery Engineering expertise, analytics, statistical, and ML skills.

BS plus 3 years of relevant industry experience. Advanced degree preferred.

• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $121,000 and $230,000, and your base pay will depend on your skills, qualifications, experience, and location.

  Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

  Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.