Senior Data Scientist - Experimentation
Senior data scientist on Apple's Ads Experimentation team, designing and building the next-generation experimentation platform for Apple's advertising business (App Store Search Ads, Apple News). Day to day: designing A/B tests and causal inference studies, building SQL/Python/PySpark data pipelines and dashboards, and advising stakeholders on statistical methods.
- Compensation
- Not disclosed
- Location
- New York City
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data science
- Posted
Skills
Must have
- 5+ years of experience in software and data science or statistics with in-depth understanding of SQL and causal inference
- Conduct rigorous end-to-end analyses using SQL, Python, and statistical methods
- Experience with A/B testing infrastructure and methodologies, deep understanding of randomized control trials
- Familiarity with causal machine learning tools and observational causal techniques (regression, propensity score matching, Diff in Diff, regression discontinuity, instrumental variables)
- Design and analyze controlled experiments or counterfactual causal inference studies
- Proficiency in SQL and PySpark or Scala to conduct analyses and build data products (pipelines and dashboards)
- Lead design, development, and maintenance of scalable, reliable data pipelines with data quality checks, monitoring, and lineage tracking
- Partner with stakeholders, including senior leaders, to identify, scope, and prioritize high-impact questions
- Skilled at operating in a cross-functional organization
- Ability to understand ambiguous, complex problems and turn analysis into clear takeaways that drive action
- Ownership mindset and curious business attitude
- Excellent communication, social, and presentation skills
- Desire to work in a fast-paced, challenging environment
- Mentor junior engineers and scientists
Nice to have
- Industry experience in SDLC
- Marketplace experimentation experience
- Experience measuring advertiser value from campaigns or algorithmic changes
- Advanced degree in Computer Science, Statistics, Applied Math, or related field
- 6+ years of industry experience building scalable applications
Full description
At Apple, we work every day to create products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. Ads Experimentation team is seeking a Machine Learning Engineer and Statistician who will help drive innovation. This is a hands-on role for developing & supporting a state of the art ads experimentation platform. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development. A successful candidate has strong technical skills and is eager to create intuitive user experiences; they have a keen eye for the details that surprise and delight our customers. While understanding our product features, you will perform rigorous analyses, measure performance and make data-driven decisions and develop scalable tools that facilitate quick and accurate decision making.
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 the marketplace dynamics and yield reliable treatment effects. Provide expert technical guidance to engineers and scientists on statistical techniques, experiment design and data engineering. You will join and contribute to a culture that emphasizes observability and understandability, reliability, resiliency, simplicity, reusability, extensibility, scalability, velocity and productivity. We are one team, nurturing each other’s growth and supporting each other in delivering for our customers and Apple.
Minimum Qualifications
- 5+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred.
- Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates.
- Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials. Experience in marketplace experimentation is a bonus.
- Familiarity with causal machine learning tools and technologies. Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables.