Data Scientist, Evaluation

Apple; Cupertino (CA); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Employee stock programs

Stock purchase plan

Relocation assistance

Job summary

Apple’s AIML Evaluation team in Cupertino seeks a Data Scientist, Evaluation to help ensure data quality and privacy compliance for Apple Intelligence. This onsite role focuses on building monitoring capabilities and automated workflows that improve visibility into data quality and policy adherence.

You will work with product, engineering and data science teams to support compliant feature development and run analyses that communicate the impact of quality and privacy issues to diverse audiences.

Qualifications

• 7+ years of industry experience in Data Science, Data Engineering or Analytics.
• Strong Python and SQL skills with data processing and pipelines.
• Commitment to user privacy and understanding of data privacy principles.
• Excellent collaboration and communication to translate findings for a broad audience.
• Bachelor’s or Master’s in a technical or quantitative field.

Responsibilities

• Partner with product, engineering, and data science teams to support compliance-aware feature development and monitoring requirements.
• Build and maintain automated data pipelines, compliance checks, and dashboards for visibility into data quality and policy adherence.
• Investigate and triage data quality and compliance issues, quantify impact, and communicate findings to technical and non-technical audiences.
• Perform ad hoc analyses to support ongoing compliance work and inform team decisions.

Skills

Python

SQL

Data analysis

Data visualization

Communication

Cross-functional collaboration

Privacy awareness

Education

Bachelor’s or Master’s in Statistics/Computer Science/Mathematics

Tools

Dashboards

Logging frameworks

Job description

Apple’s AIML Evaluation team is seeking a Data Scientist, Evaluation to help ensure data quality and privacy compliance for Apple Intelligence. This onsite role in Cupertino focuses on building monitoring capabilities and automated workflows that improve visibility into data quality and policy adherence over time.

In this position, you will work closely with product, engineering, and data science teams to support compliance-aware feature development, while also running analyses that help communicate the impact of quality and compliance issues to a range of audiences.

Responsibilities

• Partner with product, engineering, and data science teams to support compliance-aware feature development, including consulting on new feature design, flagging privacy considerations, and identifying monitoring requirements early in the product lifecycle.
• Build and maintain automated data pipelines, compliance checks, and dashboards to provide clear visibility into data quality and policy adherence over time.
• Investigate and triage data quality and compliance issues, quantify their impact, and communicate findings clearly to both technical and non-technical audiences.
• Perform ad hoc analyses to support ongoing compliance work and inform decision-making across the team.

Requirements

• Prior involvement in data collection design with privacy or regulatory considerations in mind.
• Familiarity with data governance, compliance monitoring, or privacy-preserving data practices.
• Comfort working across cross-functional teams with multiple stakeholders.
• Proven ability to build or contribute to dashboards and data visualizations for both technical and non-technical audiences.
• Exposure to logging frameworks or analytic instrumentation design.

Minimum Qualifications

• 7+ years of industry experience in Data Science, Data Engineering, or Data Analytics.
• Strong programming skills in Python and SQL, with hands-on experience in data processing, analysis, and pipeline development.
• Demonstrated commitment to user privacy and a working understanding of data privacy principles.
• Strong collaboration and communication skills, including the ability to translate technical findings for a broad audience.
• Bachelor’s or Master’s in a technical or quantitative field such as Statistics, Computer Science, Mathematics, or a related discipline.

Technologies

• Python
• SQL

Pay & Benefits

• Base pay range: USD 150,400 - 277,600 per year.
• Your base pay depends on skills, qualifications, experience, and location.
• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Opportunity to become an Apple shareholder through Apple’s discretionary employee stock programs.
• Eligible for discretionary restricted stock unit awards.
• Can purchase Apple stock at a discount if voluntarily participating in the Employee Stock Purchase Plan.
• Discretionary bonuses or commission payments and relocation (if eligible).
• Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.