Sr. Data Scientist, Apple Business & Education Organization
28 days ago Cupertino, CA
About us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
- Size: 10,000+ employees
- Industry: Technology: Manufacturing
Why you should apply for a job to Apple:
Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
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.
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.
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.
Pay & Benefits
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.
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.
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.
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.
Pay & Benefits
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.
Additional Information
- Salary: $184,700 – $324,800
- Posted: 28 days ago