Data Scientist, AIML Data Scientist

Apple Inc.
Cupertino, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 172K

Job location

Cupertino, United States of America

Tech stack

Query Performance
Adobe InDesign
Artificial Intelligence
Data analysis
Big Data
ETL
Relational Databases
Python
Machine Learning
DataOps
SQL Databases
Large Language Models
Generative AI
Information Technology
Artificial Intelligence Markup Language (AIML)

Job description

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., 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

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., 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

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

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

Benefits & conditions

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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