Senior Data Scientist, AI Ops & Capacity Planning

Apple Inc.; Seattle (WA); On-site; USD 175,500 - 263,800; Full time

Benefits offered by this job

Medical and dental coverage

Employee stock purchase plan

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. in Cupertino, California, seeks a Senior Data Scientist to lead analytics for annotation project trends and capacity planning.

You will translate behavioral insights into optimized workflows, partnering with Data Ops Client Engagement, Human Factors engineering, and annotation customers to ensure high-quality, scalable data products. The ideal candidate has deep analytics and experimentation experience, excels in cross-functional collaboration, and can drive data-informed decisions at

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
• 4+ years of data science experience with measurable analytic objectives.
• Strong SQL skills and experience with at least one large-scale data language.

Responsibilities

• Analyze trends across projects to identify annotator performance and task complexity patterns.
• Evaluate which tasks/data types benefit most from automation and optimize accordingly.
• Translate insights into optimized project structures and guidelines before launch.
• Design, run, and analyze A/B experiments with cross-functional teams.

Skills

Data science

SQL

Python

R

Experimentation

Cross-functional collaboration

Education

Bachelor's degree in CS/Stats/Math/Engineering/Economics

Master's degree

Tools

Relational databases

ETL tooling

Job description

Apple Inc. in Cupertino, California, seeks a Senior Data Scientist to lead analytics for annotation project trends and capacity planning.

You will translate behavioral insights into optimized workflows, partnering with Data Ops Client Engagement, Human Factors engineering, and annotation customers to ensure high-quality, scalable data products. The ideal candidate has deep analytics and experimentation experience, excels in cross-functional collaboration, and can drive data-informed decisions at