Data Science Leader, AIML Data Operations

**Weekly Hours:** 40

• *Role Number:** 200646254-3337
• *Summary**

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.

We are currently seeking an experienced and influential Data Science Leader to grow the AIML Data Operations Annotations Analytics team and function. This position will lead a team of data engineers and scientists to establish top-line health metrics, identify key growth drivers, and recommend operational and business optimizations through scalable, responsive, and interpretable research and analyses.

• *Description**

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

• *Minimum Qualifications**

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

+ 4+ years of experience in managing data science, analytics, or data operations teams

+ 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

• *Preferred Qualifications**

+ 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

+ Experience in managing data science or analytics teams in AI & ML annotations and collections areas.

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

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

About the Company:

Apple

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant.

Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own.

Learn more about working at Apple.

Company Size:

10,000 employees or more

Industry:

Other/Not Classified

Founded:

1976

Website:

https://www.apple.com/jobs