Apple

Apple

Posted via Apple Careers

Sr. Data Scientist, Apple Business & Education Organization

Always Hiring

Posted Aug 19, 2026

Role at a glance

Salary
$184.7K – $324.8K/yr
Location
Cupertino, California, United States Seattle, Washington, United States
Work arrangement
On-site
Employment
Full-time
Experience
7+ years in data analytics or data science; 5+ years applying statistical modeling or ML in production.
Education
Advanced degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, Economics or related disciplines).

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Role Summary

AI-generated

The Business & Education Data Organization partners with product, engineering, and business teams to generate insights, measure impact, and guide strategy across Apple's business and education services. This Senior Data Scientist role leads analytics, experimentation, modeling, and measurement work to optimize experiences for organizations and inform decisions at global scale.

What You'll Do

  • Partner with Product, Engineering, Design, and Business leads to define priorities, shape measurement frameworks, and translate insights...
  • Deliver data-informed narratives for senior leadership that inform product, engineering, and business roadmaps.
  • Design performance metrics covering product health, user engagement, and business impact across services.
  • Lead controlled experiments and apply causal frameworks to evaluate initiatives at scale.
  • Conduct behavioral analysis of acquisition, engagement, feature adoption, and retention, then translate findings into actionable strategies.
  • Collaborate with Data Engineering to define instrumentation and build reliable data pipelines.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

7+ years in data analytics or data science; 5+ years applying statistical modeling or ML in production; SQL and Python/R; strong statistical and experimental design foundations; product analytics, launch reporting, and impact measurement; generative AI or ML-based agents for automating analytical workflows and building data products at scale; ability to influence cross-functional initiatives and structure ambiguous problems.

Required

  • 7+ years in data analytics or data science
  • 5+ years applying statistical modeling or ML in production
  • SQL and Python/R
  • Strong statistical and experimental design foundations
  • Product analytics, launch reporting, and impact measurement
  • Generative AI or ML-based agents for automating analytical workflows and building data products at scale
  • Ability to influence cross-functional initiatives using data-informed insights
  • Experience structuring ambiguous problems and delivering actionable insights

Preferred

  • Advanced degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, Economics or related disciplines)
  • Experience with B2B or enterprise products
  • Practical experience with experimentation and advanced causal inference methods
  • Hands-on experience with large-scale data ecosystems (Hive, Spark, Presto)
  • Success influencing or leading projects within matrixed, cross-functional environments

Original job description

Content provided by the employer

Summary

The Business and Education team builds cloud and software solutions for organizations, such as Apple Business Manager — device management, Managed Apple Accounts, and app distribution for organizations, plus the brands and locations that shape how businesses appear across Maps, Siri, and Spotlight.

The Business & Education Data Organization embeds data‑informed thinking into every decision. You'll partner with product, engineering, and business teams to generate insights, measure impact, and guide strategy across our services.

Description

We're seeking an experienced Senior Data Scientist to drive high‑impact analytics for Apple's business and education services. You'll collaborate across engineering, product, and business teams to uncover opportunities, optimize experiences for organizations, and influence decisions at global scale.

This role requires technical depth, strategic thinking, and strong communication. You'll deliver insights that shape Apple's business and education offerings, lead complex analytical projects, and expand a culture of data‑informed decision‑making.

Responsibilities

Partner with Product, Engineering, Design, and Business leads to define priorities, shape measurement frameworks, and translate insights into growth strategies.
Deliver data‑informed narratives for senior leadership that directly inform product, engineering and business roadmaps.
Drive organizational alignment by clarifying analytical outcomes and implications for diverse stakeholders.
Design performance metrics that capture product health, user engagement, and business impact across our services.
Lead controlled experiments and apply causal frameworks to evaluate initiatives at scale.
Conduct deep behavioral analysis to uncover acquisition, engagement, feature adoption and retention, then translate findings into actionable strategies.
Collaborate with Data Engineering to define instrumentation and build reliable data pipelines.
Develop and productionize ML and statistical models that enable predictive and diagnostic insights for product decisions.
Leverage generative AI to automate analytical workflows and expand measurement capabilities at scale.

Minimum Qualifications

7+ years in data analytics or data science; 5+ years applying statistical modeling or ML in production.
Proven ability to influence cross‑functional initiatives using data‑informed insights.
Strong communicator skilled at framing complex concepts for senior audiences.
Deep expertise in product analytics, launch reporting, and impact measurement.
Proficiency in SQL and Python/R with strong statistical and experimental design foundations.
Experience structuring ambiguous problems and delivering actionable insights.
Experience with generative AI or ML‑based agents for automating analytical workflows and building data products at scale.

Preferred Qualifications

Advanced degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, Economics or related disciplines).
Experience with B2B or enterprise products — understanding how building for organizations differs from consumer products.
Practical experience with experimentation and advanced causal inference methods.
Hands‑on experience with large‑scale data ecosystems (Hive, Spark, Presto).
Demonstrated success influencing or leading projects within matrixed, cross‑functional environments.

Pay & Benefits — Cupertino, California, United States

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 $184,700 and $324,800, 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.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

Pay & Benefits — Seattle, Washington, United States

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 $175,000 and $308,500, 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.
Apple

About the company

Apple

Large Enterprise

Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.