Data Scientist, AIML Data Scientist

Apple • Cupertino, CA

13h

About The Position

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. Within the Data Operations organization, the Capacity
Planning & Analytics team provides forecasting, capacity planning and
optimization, data products, metrics reporting, modeling & experimentation, and
ad hoc analyses. We are seeking a highly motivated Senior Data Scientist to lead
analysis into annotation project trends to uncover patterns in annotator
performance, task complexity, and data characteristics to help optimize task
design. You will translate behavioral insights and empirical findings into
optimized project structures and workflows, and power capacity planning &
optimization with quantitative rigor—all to ensure we consistently launch
projects that are smarter in design, faster in execution, and uncompromising in
quality. You will partner closely with Data Ops Client Engagement, Human Factors
engineering and annotation customers to collaborate on the most effective
methods.

The ideal candidate for this role is an experienced data scientist with deep
expertise in analytics and experimentation, who excels at building strong
cross-functional relationships to drive data-informed decisions across the
company, and is skilled at partnering with operations and engineering teams to
surface and communicate key data insights that improve performance and customer
experience at a global scale.

Requirements

• Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
• 4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals
• Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization
• Mastery in SQL-based languages, and proficiency in at least one large-scale data languages
• Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R

Nice To Haves

• Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
• Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations
• Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization
• Passion for AIML and Operations, with a consistent track record of operational results.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level