Summary

Description

Minimum Qualifications

• 5+ Years of relevant experience
• Bachelor's in Computer Science or other related quantitative field

Preferred Qualifications

• Efficient python (or equivalent scripting language) programmer experience
• Effective writing SQL in data warehouse and cloud environments
• Experience with the ML ops lifecycle – specifically as it relates to automated deployment, testing, concept drift monitoring and proactive model maintenance
• Practical experience applying, and theoretical understanding of machine learning algorithms and statistical methods for regression, classification, and outlier detection
• Foundational knowledge of efficient data models for analytics and the ability to build batch type, orchestrated data integrations
• Understanding of data validations and automated monitoring to ensure integrity and consistency in data pipelines
• Previous accounting experience or experience working in a corporate finance or accounting organization is a plus.
• Understanding of or ability to learn high level accounting principles, SOX and tax compliance and month-end close process is a plus.

• Apple is an equal opportunity employer that is 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. Learn more about your EEO rights as an applicant.