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  1. Home
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  5. Data Scientist
Apple logo

Data Scientist

Not Disclosed•Full-TimeOn-site

location_on602, Santa Catalina Terrace, Sunnyvale, Santa Clara County, California, 94085, United States

Apply Now

About Apple

At Apple, we believe extraordinary products are built through deep understanding, rigorous analysis, and relentless focus on quality. We are committed to creating intelligent systems that enhance the customer experience at scale.

About the Role

In this highly visible technical role, you will define how algorithm quality is measured, understood, and improved. As a Data Scientist focused on Algorithm Evaluation, you will serve as a technical leader responsible for driving end-to-end evaluation strategy for complex algorithmic systems. You will work at the intersection of machine learning, data science, and product quality, influencing critical decisions through data-driven insights and technical leadership.

You will collaborate closely with algorithm engineers, machine learning researchers, QA, annotation teams, and cross-functional partners to shape evaluation strategy and improve the robustness, reliability, and customer experience of intelligent systems. A key part of this role involves identifying opportunities to leverage agentic systems and AI-assisted workflows to improve efficiency, scalability, and technical depth in evaluation and analysis. You will help shape how these agentic solutions and AI-assisted tooling are integrated into day-to-day workflows to accelerate data analysis, failure investigation, annotation quality improvement, root-cause discovery, and evaluation automation.

Hiring Process

Candidates selected for this role will undergo a rigorous interview process designed to assess technical depth, analytical rigor, and the ability to influence cross-functional teams in highly ambiguous environments. The process typically includes:

  1. Initial screening to discuss background and role alignment.
  2. Technical deep-dive focusing on statistical analysis, experimentation methodologies, and large-scale data analytics.
  3. System design and evaluation strategy discussions.
  4. Team fit and cultural alignment interviews.

Equal Opportunity Employer

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to hire and employ qualified individuals from all backgrounds. We consider qualified applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.

Work location

Work model: On-site

location_on

602, Santa Catalina Terrace, Sunnyvale, Santa Clara County, California, 94085, United States

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Frequently asked questions about Data Scientist at Apple

What does a Data Scientist at Apple do?expand_more
Day-to-day, the Data Scientist at Apple will define and drive evaluation strategy, methodologies, and success metrics for machine learning systems; establish scalable frameworks for measuring algorithm quality, robustness, and customer impact; lead deep technical investigations into algorithm performance, failure patterns, and regression trends; and design and implement automated evaluation pipelines, benchmarking systems, and reporting infrastructure.
What are the requirements for this Data Scientist role?expand_more
To qualify for the Data Scientist at Apple position, applicants should have: 10 years relevant industry experience; 7+ years in data science, machine learning evaluation, algorithm analysis; Strong programming experience in Python; Experience evaluating machine learning, computer vision, or AI systems; Familiarity with AI-assisted analysis workflows, foundation models, or agentic systems; and Knowledge of A/B experimentation, causal inference, and advanced statistical modeling.
Where is the Data Scientist role at Apple located?expand_more
Data Scientist at Apple is based in 602, Santa Catalina Terrace, Sunnyvale, Santa Clara County, California, 94085, United States. This is a on-site role.
Is this Data Scientist job remote, hybrid, or on-site?expand_more
Apple has listed this Data Scientist role as on-site.

Sunnyvale, California

Key Responsibilities

  • check_circleDefine and drive evaluation strategy, methodologies, and success metrics for machine learning systems
  • check_circleEstablish scalable frameworks for measuring algorithm quality, robustness, and customer impact
  • check_circleLead deep technical investigations into algorithm performance, failure patterns, and regression trends
  • check_circleDesign and implement automated evaluation pipelines, benchmarking systems, and reporting infrastructure
  • check_circleDrive root-cause analysis of algorithm failures and partner with engineering teams on optimization
  • check_circleIdentify opportunities to leverage agentic systems and AI-assisted workflows to improve evaluation efficiency
  • check_circlePartner with cross-functional teams to improve evaluation coverage, data quality, and operational efficiency
  • check_circleMentor team members and raise technical standards in evaluation methodologies and statistical rigor
  • check_circleDevelop intelligent workflows utilizing AI agents for failure pattern clustering and anomaly detection

Requirements

  • verified10 years relevant industry experience
  • verified7+ years in data science, machine learning evaluation, algorithm analysis
  • verifiedStrong programming experience in Python
  • verifiedExperience evaluating machine learning, computer vision, or AI systems
  • verifiedFamiliarity with AI-assisted analysis workflows, foundation models, or agentic systems
  • verifiedKnowledge of A/B experimentation, causal inference, and advanced statistical modeling

Nice to Have

Experience evaluating machine learning, computer vision, multimodal, or foundation model systems in production environments. Experience designing or deploying agentic workflows to improve engineering productivity, data analysis, evaluation efficiency, or annotation quality. Familiarity with LLM-based systems, retrieval pipelines, structured reasoning, or AI-assisted analytics frameworks. Experience defining quality frameworks and evaluation methodologies for large-scale intelligent systems. Experience building automated benchmarking systems and large-scale performance monitoring infrastructure. Knowledge of A/B experimentation, causal inference, and advanced statistical modeling. Strong understanding of the ML lifecycle, model validation, and continuous evaluation methodologies. Excellent communication skills with proven ability to influence technical decisions through data-driven insights.

Apple cover image
Apple logo
Company

Apple

Industry

Computers and Electronics Manufacturing

Headquarters

Cupertino, California

Open Roles

12

Apple operates within the computers and electronics manufacturing industry, headquartered in Cupertino, California. The organization functions as a collective of thinkers and doers focused on reimagining possibilities to enable individuals to pursue their passions in new ways. This approach to innovation extends beyond product development to internal practices, reflecting a commitment to environmental stewardship and leaving the world better than it was found. The company emphasizes that work within its structure can create a tangible difference in people's lives, including those of its employees. Apple maintains a policy as an equal opportunity employer, demonstrating a dedicated commitment to inclusion and diversity across its workforce. The organization provides information regarding career opportunities and its diversity initiatives through its official careers website. While the specific product lineup is not detailed in the provided source, the company's core activity centers on manufacturing computers and electronics while integrating social responsibility into its operational model.
View company profilearrow_forwardlanguageWebsitelinkLinkedIn
Quick Overview

Experience

10+ yrs (Lead)

Job Type

Full-Time

Skills Required

Machine LearningData ScienceStatistical AnalysisPythonComputer VisionAi-Assisted Workflows
How much experience is required for this Data Scientist role?expand_more
Data Scientist at Apple typically requires 10+ years of relevant experience at the lead level.
What skills do you need for the Data Scientist role at Apple?expand_more
Key skills for Data Scientist at Apple include Machine Learning; Data Science; Statistical Analysis; Python; Computer Vision; Ai-Assisted Workflows; Agentic Systems; and LLM-Based Workflows.
What category does the Data Scientist role belong to?expand_more
Data Scientist at Apple is part of the it job category on Recrutus.

About Apple

Apple operates within the computers and electronics manufacturing industry, headquartered in Cupertino, California. The organization functions as a collective of thinkers and doers focused on reimagining possibilities to enable individuals to pursue their passions in new ways. This approach to innovation extends beyond product development to internal practices, reflecting a commitment to environmental stewardship and leaving the world better than it was found. The company emphasizes that work within its structure can create a tangible difference in people's lives, including those of its employees.

Apple maintains a policy as an equal opportunity employer, demonstrating a dedicated commitment to inclusion and diversity across its workforce. The organization provides information regarding career opportunities and its diversity initiatives through its official careers website. While the specific product lineup is not detailed in the provided source, the company's core activity centers on manufacturing computers and electronics while integrating social responsibility into its operational model.

Browse more roles: All Apple jobs, it jobs on Recrutus.

Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified employers, salary benchmarks, and remote-friendly teams across India and beyond.

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About usFAQContactPrivacy policyUS privacy notice

Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

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Agentic Systems
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Ab Experimentation
Causal Inference
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