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Analytics Data Scientist - Quality Engineering, SiriApple • San Francisco, California, United States
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Analytics Data Scientist - Quality Engineering, Siri

Apple
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Jetzt Bewerben

Über

Analytics Data Scientist - Quality Engineering, Siri San Francisco Bay Area, California, United States Software and Services
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something — you'll add something.
Description The Siri Quality Engineering team is seeking an Analytics Data Scientist to build a Curated, Accurate, Reliable data lake—a governed lakehouse with point-in-time and near-real-time pipelines, and a clear semantic layer—so teams trust and use data. You will ultimately be part of a collaborative team that is responsible for understanding how well our products work, advocating for critical changes, and representing how they'll be experienced by our customers. We deliver descriptive, diagnostic, prescriptive, and predictive analytics that show what’s happening, explain why, recommend what to do, and empower decision automation. We publish certified metrics and models used in executive-facing reports, raising product quality, speeding releases, and reducing risk across all Apple platforms and locales. As a member of our passionate group in Siri, you will have the unique and rewarding opportunity to shape and improve our products to delight and inspire millions of Apple's customers every day.
Responsibilities
Turning data into decisions. Lead analytics across four modes—Descriptive, Diagnostic, Prescriptive, Predictive—to improve engineering efficiency and product quality.
Define KPIs and metrics; automate exec-ready reporting and anomaly detection.
Explain drivers with deep dives, causal/correlation analysis, and cohorting.
Recommend actions using optimization, simulations, and experiment results.
Build and productionize models (forecasting, classification, risk/quality scoring).
Translate insight to action with clear narratives, dashboards, and decision rules.
Standardize definitions (data dictionary, glossary); surface and drive data-quality fixes with partners.
Minimum Qualifications
5+ years in product/ops analytics or data science.
Expert SQL; strong Python (pandas, NumPy, scikit-learn or PySpark).
Statistics and experiment design (hypothesis testing, power, basic causal inference).
Proven record of turning analysis and models into shipped decisions with measurable impact.
Excellent communication with both technical and executive audiences.
Experience with agentic AI-assisted coding.
Preferred Qualifications
Forecasting/time-series; optimization (LP/MIP) or simulation.
Tableau or similar for self-service analytics.
Web Developer experience is a plus.
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 $141,800 and $258,600, 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 is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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  • San Francisco, California, United States

Sprachkenntnisse

  • English
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