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Apple Product Support Data Scientist United States, California, Sunnyvale 169746669
14.12.2024
Minimum Qualifications
- MA or MS degree in statistical analysis, computer science, data science, or related field.
- 3+ years experience in deploying data science, machine learning, or anomaly detection techniques to solve practical business problems.
- Outstanding written and verbal communication, with the ability to make complex data science concepts understandable to non-technical audiences.
- Proficiency in SQL, preferably in Snowflake.
- Experience with anomaly and outlier detection methods and algorithms.
- Strong programming skills in Python with experience using packages such as Pandas, NumPy, scikit-learn.
- Experience in quantitative data analysis, possessing a strong ability to conduct in-depth evaluations of complex issues.
- Have a creative approach to engineer innovative features and signals into analytical solutions, pushing the boundaries of current tools and methodologies.
- Experience leveraging Large Language Models (LLMs) to generate, refine, evaluate, and analyze text data for practical applications
Preferred Qualifications
- Experience developing methods for integrating knowledge graphs with LLMs to enrich model responses with factual accuracy and context.
- Experience implementing pipelines that allow LLMs to dynamically access and retrieve information from knowledge graphs for complex question-answering tasks.
Pay & Benefits
- 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 $165,500 and $248,700, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
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