Data Scientist- Data Cloud

Role Number : 200615217-3543

Summary

Ready to work with large-scale data systems that generate invaluable insights for teams that develop Apple's operating systems? The systems required to efficiently build and manage that software produces billions of events per day and provides a unique opportunity to generate invaluable insights. Join an early-stage team that is building a modern analytics platform using an innovative approach to software engineering, ML, and cloud data management!

We're seeking an exceptional Data Scientist to transform complex data into timely, valuable insights that influence decisions across Apple's Software Engineering (SWE) organization. In this role, you will join a team that is building an analytics platform and growing an internal community focused on unlocking the power of data. As part of this team, you will create new SQL models in dbt and Snowflake, optimize and extract new data sources using Python, and collaborate with a variety of Apple teams to provide actionable insights in tools like Streamlit and Tableau.

We believe that every person brings unique skills and perspectives to the table. Far more than any specific experience or skill set, we are looking for Data Scientists who are driven to build robust and reliable analytics, eager to learn and hone their skills, and enthusiastic about facilitating growth and knowledge sharing among team members.

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 leaders

Here 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

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 () .