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Senior Data Scientist - Experimentation

Apple· Machine Learning and AI
Apply on company site
Hybrid (New York City, NY)$184.7k - $277.6kfull-timePosted 3d ago

About the role

Hands-on role to design, build, and support a state-of-the-art ads experimentation platform for Apple’s Ads Platform organization. Collaborates with cross-functional teams to design experiments, apply statistical methods, and develop scalable data products that enable data-driven decision making while upholding Apple’s privacy commitments.

Responsibilities

  • Design and build a new generation of experimentation platform for the Ads Platform organization.
  • Apply leading-edge technologies to enable safe and data driven launch of features that help connect Apple users and advertisers while delivering on Apple's privacy commitment through experimentation.
  • Collaborate with stakeholders and data scientists to design experiments and statistical methods that account for marketplace dynamics and yield reliable treatment effects.
  • Provide expert technical guidance to engineers and scientists on statistical techniques, experiment design and data engineering.
  • Join and contribute to a culture focused on observability, reliability, scalability, and velocity.
  • Analyze data end-to-end using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates.
  • Lead the design, development, and maintenance of scalable and reliable data pipelines with data quality checks and lineage tracking.
  • Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions.
  • Mentor junior engineers and scientists on the team

Qualifications

  • Advanced Degree in Computer Science, Statistics, Applied Math or related field.
  • 6+ years of industry experience building scalable applications.
  • 5+ years of experience in software and data science or statistics with in-depth understanding of SQL and causal inference.
  • Industry experience in SDLC is preferred.
  • Experience with A/B testing infrastructure and methodologies and deep understanding of randomized controlled trials. Marketplace experimentation is a bonus.
  • Familiarity with causal machine learning tools and observational causal techniques (e.g., regression, propensity score matching, Diff in Diff, regression discontinuity, instrumental variables).
  • Proficiency in SQL and PySpark or Scala for analyses and building data products (pipelines and dashboards).
  • Strong collaboration skills with cross-functional teams and ability to communicate complex analyses clearly.
  • Curious business mindset with ownership mentality.
  • Excellent communication, social and presentation skills.
  • Ability to understand ambiguous problems and translate into actionable analyses.

Skills

Required:SQLPythonPyspark or ScalaCausal InferenceExperiment DesignData PipelinesCommunication
Nice to have:Mentoring

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement (tuition)
  • Discretionary bonuses or commission payments and relocation eligibility
  • Apple shareholder opportunities through stock programs
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Apple

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