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Data Scientist- Data Cloud

Apple

Company : Apple

Location : San Diego, CA, 92189

Posted Date : 4 October 2025

Job Type : Other

Category : Mathematics

Occupation : Data Scientist

Job Details

San Diego, California, United States Software and Services

Description

The Data Cloud team is building an analytics platform that creates invaluable insights for Apple's development teams and their leadership. You'll be primarily focused on creating analytical insights and contributing to many aspects of the system including data modeling, data extraction, data visualization, documentation, and other tools. Work closely with teams and leaders to understand their requirements and develop solutions that prioritize usability, accuracy, performance, maintainability, and security.In your role as a Data Scientist you will:* Design and implement complex analytical models using dbt, SQL, and Python* Optimize and create data extraction capabilities and algorithms* Ensure data quality, governance, and security standards* Document and share methodologies and analytical best practices* Partner with engineers and the wider community on platform direction* Design intuitive and interactive data visualizations to communicate analytical results* Lead analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results to teams and leadersHere you’ll find that we are committed to excellence in analytics and software development, working alongside a team of highly skilled colleagues who are open to collaboration and knowledge sharing. We offer a relaxed work environment that promotes personal and professional growth. As our team is in the early stages of formation, you will have the opportunity to take the lead on several new initiatives with a large impact across Apple.

Minimum Qualifications

  • Bachelor's degree required in Data Science, Physics, Math, Computer Science or other quantitative field
  • 2+ years industry experience in Data Science, ML, or related analytics role
  • Proficiency in Python and SQL

Preferred Qualifications

  • Skilled at creating intuitive data visualizations in tools like Tableau, Streamlit, and Plotly that simplify complex insights
  • Practical experience with Snowflake
  • Fluency with frameworks like dbt, Pandas, SciPy, and PySpark
  • Track record of executing complex projects efficiently while following software engineering best practices
  • Exceptional communication skills with experience building complex analyses and narratives out of data
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 $134,800 and $245,800, and your base pay will depend on your skills, qualifications, experience, and location.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.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 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 .

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