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Apple Data Scientist - Instructional Products United States, California, Cupertino 301173791
31.08.2024
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Minimum Qualifications
- Bachelor’s or master’s degree in Statistics, Mathematics, Data Science, Computer Science, or related educational discipline.
- Minimum of five years experience working in a data scientist or analyst in a business intelligence role or equivalent practical knowledge.
- Experience working with SQL and building data visualizations using relevant tools (e.g. Splunk, Tableau, or similar).
- Experience sizing and estimating timelines on analytics initiatives of varying scales.
- Experience with A/B testing methodologies and supporting technologies and platforms.
- Experience working cross-functionally with software engineering, legal, and data warehousing teams.
- Fluency in at least one programming language like Python, R, Scala, Java, Swift, or similar.
- Excellent communication skills and with the ability to distill complex or divergent results with clarity and precision.
Preferred Qualifications
- Experience with machine learning, prompt engineering, and large language models.
- Experience performing analysis on instructional content-driven products and services.
- An understanding of how customers find and consume digital instructional content.
- Working knowledge of content management and delivery systems.
- Experience working with stream processing via Apache Spark, Apache Storm, or Kafka a plus.
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 $293,800, 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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