Data Scientist- Data Cloud
Appleabout 1 year ago
San Diego, California, United States
Hybrid
Full-time
Junior Level (1-3 years)
Job Description
Position Overview
Join an early-stage team on the Data Cloud initiative at Apple. In this role, an exceptional Data Scientist transforms complex data into timely, valuable insights that influence decisions across the Software Engineering organization. You’ll create SQL models in dbt and Snowflake, optimize data extraction with Python, and build interactive visualizations using tools like Streamlit and Tableau to unlock the power of data.
Key Responsibilities
- 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 data exploration, analysis, and presentation.
Required Qualifications
- Bachelor's degree in Data Science, Physics, Math, Computer Science, or a related quantitative field.
- 2+ years of industry experience in Data Science, ML, or a related analytics role.
- Proficiency in Python and SQL.
Preferred Qualifications
- Skilled in creating intuitive data visualizations using tools like Tableau, Streamlit, and Plotly.
- Practical experience with Snowflake.
- Fluency with frameworks like dbt, Pandas, SciPy, and PySpark.
- Track record of executing complex projects efficiently while adhering to best practices.
- Exceptional communication skills in building complex analyses and narratives from data.
Benefits & Perks
- Compensation: Base pay range is between $134,800 and $245,800, with opportunities for growth.
- Employee Stock Programs: Eligibility for Apple’s discretionary employee stock awards and discounted stock purchase.
- Benefits: Comprehensive medical and dental coverage, retirement benefits, discounted products, and free services.
- Additional Perks: Tuition reimbursement, potential discretionary bonuses or commission payments, and relocation assistance.
Required Skills
Pandas
SQL
SciPy
Machine Learning
PySpark
Streamlit
dbt
Python
Data Visualization
Snowflake
Tableau
Data Modeling