At Apple, new ideas have a way of quickly becoming outstanding products, services, and customer experiences. Bring passion and dedication to your career, and there's no telling what you could accomplish! The people here at Apple don’t just build products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

Join the Applied Data Science Program (ADSP) and make a positive impact on one of the most influential technology leaders in the industry. You’ll be tasked with building sophisticated, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligence, data analysis, and data science. You will work with teams across Apple, using data analysis and predictive modeling techniques, to define, build, deploy, and maintain end-to-end operational solutions that have a direct and measurable impact to the company and our customers.

Description

The ADSP is a rotational program which provides entry-level talent with practical work experience through project-based rotations on various teams across the company. Upon completion, ADSPs move into non-rotating technical roles within Apple. Responsibilities may include: - Translate ambiguous business problems into technical solutions by working collaboratively with business partners to design, develop, deploy, and maintain data science-driven solutions that drive key business decisions - Create tools to support self-service analytics, geospatial analytics, automated disaster recovery, self-healing data engineering pipelines, real time reporting, and decision support systems - Develop, deploy, and operationally support machine-learning models that take real-time and forensic action against a variety of threats to Apple’s ecosystem - Apply data science to core finance processes to automate and elevate capability, forecasting, accruals, accounting entries prep, IA process, risk mitigation, etc.

Minimum Qualifications

• Proficient in at least one programming language (Python/Scala/Java preferred)
• Practical experience (gained through work/classroom/personal projects) with querying language such as SQL and extracting insights from complex data sets
• Theoretical understanding of data modeling concepts, data structures, and machine learning algorithms
• Experience implementing machine learning solutions to answer real-world questions a plus
• Experience with big data processing technology (MapReduce/Spark/S3/Data Lake) a plus
• Effective communication to translate complex, ambiguous concepts into concise, business-focused solutions
• Standout colleague, meticulous, and a self-starter
• Thrives in a fast-paced environment

Preferred Qualifications

• Bachelors or Masters in Data Science, Computer Science, or related Engineering field