Senior Data Scientist - Experimentation (Science Focus)

Apple Inc.; New York (NY); On-site; USD 175,000 - 313,000; Full time

Job summary

An established industry player is seeking a Senior Data Scientist to lead the design of innovative experimentation platforms within their Ads organization. This role emphasizes the application of cutting-edge technologies and statistical methods to ensure safe, data-driven feature launches. You will collaborate with diverse teams to analyze marketplace dynamics and provide expert guidance on experimental design. The ideal candidate will have extensive experience in software and data science, particularly in SQL and Python, and a passion for fostering a culture of observability and reliability. Join a dynamic environment that values collaboration and growth, where your contributions will significantly impact the company's success.

Benefits

Stock Programs

Comprehensive Health Coverage

Retirement Plans

Educational Reimbursement

Relocation Support

Qualifications

• 8+ years in software/data science with SQL and causal inference expertise.
• Experience with A/B testing and statistical analysis.

Responsibilities

• Design and build experimentation platforms for Ads.
• Collaborate with stakeholders to design experiments.

Skills

SQL

Python

Statistical Methods

A/B Testing

Causal Inference

Data Engineering

Pyspark

Scala

Education

Advanced degree in Computer Science

Advanced degree in Statistics

Advanced degree in Applied Math

Tools

Causal Machine Learning Tools

Data Pipelines

Job description

Senior Data Scientist - Experimentation (Science Focus)

Location: New York City, New York, United States | Sector: Software and Services

Description

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 connect Apple users and advertisers, while upholding Apple's privacy commitments through experimentation. Collaborate with stakeholders and data scientists to design experiments and statistical methods that consider marketplace dynamics and produce reliable treatment effects. Provide expert guidance to engineers and scientists on statistical techniques, experiment design, and data engineering. Join a culture emphasizing observability, reliability, simplicity, reusability, scalability, and productivity. We foster a collaborative environment focused on growth and delivering value to our customers and Apple.

Minimum Qualifications

• 8+ years of experience in software and data science or statistics, with deep knowledge of SQL and causal inference. Industry experience in SDLC is preferred.
• Ability to conduct comprehensive analyses using SQL, Python, and statistical methods to generate insights and improve treatment effect estimates.
• Experience with A/B testing infrastructure, methodologies, and understanding of randomized control trial assumptions. Marketplace experimentation experience is a plus.
• Familiarity with causal machine learning tools and techniques such as regression, propensity score matching, difference-in-differences, regression discontinuity, and instrumental variables.
• Experience designing and analyzing controlled experiments or causal inference studies to assess the impact of interventions, including measuring advertiser value from campaigns or algorithmic changes.
• Proficiency in SQL and Pyspark or Scala for analysis and building data products like pipelines and dashboards to automate experiment reporting at scale.
• Ability to lead the design and maintenance of scalable, reliable data pipelines, including data quality checks, monitoring, and lineage tracking. Advocate for best data engineering practices.
• Strategic partnership skills: work directly with stakeholders, including senior leaders, to identify, scope, and prioritize high-impact questions.

Preferred Qualifications

• Advanced degree in Computer Science, Statistics, Applied Math, or related field.
• Experience working in cross-functional teams.
• Ability to understand complex, ambiguous problems and develop analytical approaches that translate into actionable insights.
• Curious mindset with ownership-driven project approach.
• Excellent communication, social, and presentation skills.
• Comfort working in a fast-paced, challenging environment.
• Mentoring experience for junior engineers and scientists.

Compensation at Apple includes a base salary ranging from $175,800 to $312,200, depending on skills and experience. Additional benefits include stock programs, comprehensive health coverage, retirement plans, educational reimbursement, bonuses, and relocation support. Apple is an equal opportunity employer committed to diversity and inclusion.