Senior Analyst, Capacity Planning, AIML Data Operations

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple's ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. The Data Operations Capacity Planning & Analytics team provides leadership in forecasting, capacity planning and optimization, data products, metrics reporting, and modeling & experimentation.

We are looking for a highly motivated senior analyst with proven experience in planning, forecasting, analytics, and operations. In this role, you will be responsible for converting internal customer's annotation / labeling needs into quantitative project requirements and assembling and executing on the capacity planning necessary to deliver projects successfully. Teams across Apple, building amazing experiences into every Apple product, will come to rely on you to meet their product needs with high quality, cost-effective, and timely annotated data.

Description

The ideal candidate for this role is an experienced analyst who loves working with people across technical and non-technical domains to solve problems and deliver results. You will work with teams in operations, engineering, and program management to forecast demand, develop capacity plans, and partner in the execution of annotations projects on a daily basis that supporting teams across Apple's ecosystem who are working on cutting-edge AI and machine learning technology.","responsibilities":"In this role, you will:

Gather data and prepare projects for execution, partnering with engineering teams to improve project execution.

Engage with engineering, data science, and quality assurance teams across Apple's ecosystem to optimize the distribution of annotation workloads, ensuring the successful timely delivery of high-quality labeled data.

Convert internal customers' project needs into quantifiable demand requirements to determine optimal workforce sizing, selection, and scheduling strategies necessary to deliver projects successfully.

Continually assess existing workforce capability against internal customer data annotation requirements, making real-time decisions to expand workforce availability and ensure on-time, high-quality delivery.

Research and evaluate emerging tools and techniques in the forecasting space to advance and improve the suite of capacity planning models tools used for efficient production brokering

Partner with internal and external stakeholders to identify automation opportunities, define technical requirements, develop AI/ML models, and facilitate stakeholder evaluation and testing cycles.

Communicate performance trends to leaders on an ongoing basis, highlighting and spearheading opportunities to drive further efficiency across the data operations organization.

Preferred Qualifications

Advanced degree (Masters or PhD) in Computer Science, Statistics, Mathematics, Economics or related field.

Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations

Passion for AIML and Operations, with a consistent track record of operational results.

Minimum Qualifications

Bachelors degree in Computer Science, Statistics, Mathematics, Economics or related field.

5+ years of experience in Forecasting, Planning, Data Analyst, or Data Science roles

Proficiency with using large scale data analytics in service of solving complex business problems

Proficiency in Python or R, SQL, tools such as scikit-learn, and forecasting libraries.

Extensive experience building production-ready models for forecasting applications.

Ability to condense complex concepts and analysis into clear and concise takeaways that drive action.

Superb communication, story telling, and presentation skills with meticulous attention to detail.

Excellent in teamwork and relationship building.

Self-directed, intellectually curious, and proactive. You thrive in an ambiguous and fast-paced environment.

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 .