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Location: Cupertino, California
Type: Full Time
Preferred Education: Masters
Internal Number: 200298101
Location: Cupertino, CA
Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. Do you want to impact the future at Apple by developing an extraordinary platform for our Operations team?
Apple is a data-centric company where many critical decisions are made based on data. The completeness, accuracy and timeliness of data has huge implication to our decision-making. Every shipped Apple product undergoes rigorous testing at our factories to ensure the best customer experience. Our team handles the collection and reporting of all manufacturing data.
Machine Learning Algorithm Engineer
Through the use of statistics, the scientific process, and machine learning, the team recommends and implements solutions to the most challenging problems. We’re looking for experienced machine learning professionals to help us revolutionize how we manufacture Apple’s amazing products. Put your experience to work in this highly visible role.
Data Science Analytics Lead
You will utilize data, infrastructure and intelligence tools to tackle interesting problems every day. You will be tasked with finding insights from data that will improve Product Operations, quality, and manufacturing efficiencies by understanding the variables impacting yield. The Product Operations Data team drives strategic initiatives for better data collection and reporting, ensure data integrity across multiple data sources, and reduce analysis time through automation and creative solutions.
You should have expertise required to understand complex data sets: product testing, parametric data, manufacturing, robotics and capital equipment. Then select and configure appropriate technologies and programming languages required to ensure successful business impact.
As a Sr. Data Analytics Lead you will drive and lead business insights, presenting data findings to peers, managers, directors, and VPs.
Highlight data patterns that could be useful for making business decisions.
Employ statistical techniques with big data initiatives and tools to drive major operational business decisions.
Answer complex questions through data science, analysis, and clearly communicate findings to multi-functional teams for direction.
Influence repair processes and fraud detection improvements by scripting analysis on very high volumes of data at a commodity and parametric level.
Seek opportunities to improve data collection, reporting and consumption based on business needs.
Regularly collaborate with internal and external information technology teams on resolving data issues, as well as mitigation plans to avoid errors in the future.
Participate in strategic capital systems planning.
Excellent analytical skills, advanced level of statistics with the ability to identify and predict trends and anomalies.
Strong expertise with Python, R and libraries such as (scikit- learn, scipy, R, NetworkX, Spacy, and NLTK).
Experience in data mining very large data sets, high proficiency in SQL (Teradata, SQL, Oracle, or MySQL or other RDBMS.)
Experience pulling your own data for analysis with Hive queries or in a distributed processing systems environment preferred (Hadoop, HDFS, Spark, AWS Redshift, Presto)
Data visualization experience with tools such as: Tableau, JMP, R creating dashboards and presenting data through reports.
Manufacturing Decision Support
The iPhone Capacity Planning team is a high impact and well valued team. From capital equipment planning, business allocation, production line planning to labor planning, the outcome of this team’s work influences key inputs for multi-billion dollar budgets and navigates complex operational challenges by working closely with supply demand planning, operation/technical program management, CapEx management, quality, infrastructure, AppleCare, procurement and our contract manufacturing partners.
On a day to day basis the team plays a meaningful role in defining and leading strategic and operational priorities as well as improvements across the iPhone and Core Technologies organization. The ideal candidate will help us to go further into the areas of deep data analytics and operations research in order to drive decision support.