Data Scientist

Cupertino, California, United States Hardware

Description

APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Build evaluations and metrics to quantify algorithm performance and relate them to user experience, deep-diving failure analysis, and pattern mining. Produce and present meaningful data insights with visualizations to higher-ups and across various involved teams. Use in-depth statistical analysis and large data analysis to drive actionable insights for customers. Evaluate potential features based on customer requirements to make informed decisions for internal improvements. Develop interpretation methods for machine learning models. Provide quantitative analysis of real-world trends and real customer data to understand current model and algorithm performance. Work with Python, testing expertise, knowledge of the software development cycle to understand the algorithms that Apple’s computer vision engineers developed. Creates mathematical models to project outcomes and inform strategic business decisions. Capture and analyze real customer feedback on shipped products to aid future product development and roadmap.40 hours/week. 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 $148,699 - $190,900/yr and your base pay will depend on your skills, qualifications, experience, and location.PAY & BENEFITS: 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: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Minimum Qualifications

• Master’s degree or foreign equivalent in Business Analytics, Data Science or related field.
• Experience and/or education must include:
• Use Python to translate mathematical equations and concepts to code to develop metrics and loss functions for computer vision algorithms and machine learning models that accurately capture the end customer use case.
• Use Python and Git to create an automation system to run evaluation metrics on real world data.
• Use Python to create a clear data pipeline, from cleaning data for ingestion, running data through automation, and storing output results in a central location for analysis.
• Use Python, REST APIs, PostgreSQL, MongoDB to establish SQL/non-SQL database and cloud base storage for datasets and evaluation results.
• Use Python and Tableau to run statistical analysis to identify failure patterns in large-scale replay results of computer vision algorithms and/or machine learning models.
• Use Python and SQL to visualize failures from computer vision algorithms and/or machine learning models on front end dashboards.
• Perform manual failure analysis on computer vision algorithms and machine learning models to triage issues.
• Use Python, Plotly, and SQL to create detailed reports containing evaluation results.

Preferred Qualifications

• N/A

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant .