About the position
We're looking for a proactive & impact-driven software engineer with excellent analytics, machine learning, problem solving and communication skills. You will need to analyze high dimensional data to derive meaningful insights. You will be responsible for developing models, metrics, tools, dashboards, reports, and infrastructure for streamlined analysis & communication of insights from large datasets. To be successful in this role, you must have a strong foundation in statistical analysis and the ability to apply it to solving business & product-development problems. You must also have a strong software engineering background and be able to write production level code. As a member of this team, you will have the opportunity to provide meaningful insights to teams and influence decisions across Apple on a broad range of products!
Responsibilities
- Analyze high dimensional data to derive meaningful insights.
- Develop models, metrics, tools, dashboards, and reports for data analysis.
- Build infrastructure for streamlined analysis and communication of insights from large datasets.
- Write production level code to support data analysis and insights generation.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or a related quantitative field.
- Strong mathematical foundations and software engineering skills.
- Broad knowledge of data analysis and practical machine learning.
- Skilled at transforming raw data into actionable insights through ETL processes (e.g. Python & Spark).
- Ability to create data visualizations (e.g. Tableau).
- Strong problem-solving skills and business acumen.
- Effective communication skills to convey findings to stakeholders.
- Comfortable with ambiguity and eager to learn in a collaborative environment.
Nice-to-haves
- M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a similar quantitative field.
- Proficiency in distributed compute & storage technologies such as HDFS, S3, Iceberg, Spark, and Trino.
- Experience with designing ETL flows and automation/scheduling (e.g. Kubernetes and Airflow).
- Working knowledge of Operating Systems (memory management, thread/process lifecycles, file systems, etc.).
- Experience driving cross-functional projects with diverse sets of stakeholders.
- Skilled at connecting data insights to the company's overall strategy and objectives.
Benefits
- Comprehensive medical and dental coverage
- Retirement benefits
- Discounted products and free services
- Reimbursement for certain educational expenses including tuition
- Discretionary bonuses or commission payments
- Relocation assistance
- Opportunity to participate in Apple's discretionary employee stock programs
- Ability to purchase Apple stock at a discount through Employee Stock Purchase Plan.
