Apple
Data Scientist - Batteries
Apple, Cupertino, California, United States, 95014
Key Qualifications
Proven working knowledge of statistical and data mining for causal analysis. Strong expertise in processing, visualizing, and analyzing big data. 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 approach, probability networks, association rules, clustering, regression, and neural networks. Strong problem-solving skills to address ad-hoc analytics requests with a sense of urgency using engineering knowledge and analytics/ML skills based on different data sources, including time series datasets. Experience in anomaly detection based on time series or other datasets. Self-starter with creativity to interact with other functions and deliver the best solution to problems. Effective interpersonal skills to articulate difficult technical topics, especially causal inference, to collaborators including peer data scientists, design engineers, and business partners. BS and a minimum of 3 years relevant industry experience. Responsibilities
Work within a multi-functional team supporting the entire Battery Department to identify trends, mine data, and help the battery team improve performance. Analyze factory, field, and failure data and collaborate with cross-functional teams to resolve battery issues. Understand end-to-end nature of Apple DB to organize proper sample size, data pull, and minimize SQA issues efficiently. Design, implement, process workflows, and interpret data; apply advanced technologies for modeling enhancements to drive causation. Develop time-series data and cycling data visualization and analytics capabilities, conduct comparative studies, identify early signals, and lead deep dives for FA. Lead resolution of out-of-family forecasts for KPIs such as swell, impedance, and capacity. Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $132,300.00 and $241,500.00, depending on skills, qualifications, experience, and location. Apple employees have the opportunity to become shareholders through participation in Apple’s discretionary employee stock programs. Benefits include comprehensive medical and dental coverage, retirement benefits, discounted products and free services, and reimbursement for certain educational expenses including tuition. This role might be eligible for discretionary bonuses or commission payments as well as relocation. Additional Information
Apple is an equal opportunity employer committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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Proven working knowledge of statistical and data mining for causal analysis. Strong expertise in processing, visualizing, and analyzing big data. 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 approach, probability networks, association rules, clustering, regression, and neural networks. Strong problem-solving skills to address ad-hoc analytics requests with a sense of urgency using engineering knowledge and analytics/ML skills based on different data sources, including time series datasets. Experience in anomaly detection based on time series or other datasets. Self-starter with creativity to interact with other functions and deliver the best solution to problems. Effective interpersonal skills to articulate difficult technical topics, especially causal inference, to collaborators including peer data scientists, design engineers, and business partners. BS and a minimum of 3 years relevant industry experience. Responsibilities
Work within a multi-functional team supporting the entire Battery Department to identify trends, mine data, and help the battery team improve performance. Analyze factory, field, and failure data and collaborate with cross-functional teams to resolve battery issues. Understand end-to-end nature of Apple DB to organize proper sample size, data pull, and minimize SQA issues efficiently. Design, implement, process workflows, and interpret data; apply advanced technologies for modeling enhancements to drive causation. Develop time-series data and cycling data visualization and analytics capabilities, conduct comparative studies, identify early signals, and lead deep dives for FA. Lead resolution of out-of-family forecasts for KPIs such as swell, impedance, and capacity. Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $132,300.00 and $241,500.00, depending on skills, qualifications, experience, and location. Apple employees have the opportunity to become shareholders through participation in Apple’s discretionary employee stock programs. Benefits include comprehensive medical and dental coverage, retirement benefits, discounted products and free services, and reimbursement for certain educational expenses including tuition. This role might be eligible for discretionary bonuses or commission payments as well as relocation. Additional Information
Apple is an equal opportunity employer committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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