Staff Data Scientist - Experimentation

Apple Inc.; New York (NY); On-site; USD 181,100 - 318,400; Full time

Benefits offered by this job

Employee Stock Purchase Plan

Comprehensive medical and dental coverage

Discounted products and free services

Tuition reimbursement

Job summary

Apple Inc. in New York City is seeking a Machine Learning Engineer and Statistician to drive innovation in their Ads Experimentation team. This hands-on role involves developing a cutting-edge experimentation platform, conducting rigorous analyses, and collaborating with cross-functional teams. The ideal candidate has over 8 years in software and data science, expertise in SQL and causal inference, and a passion for creating impactful user experiences. Benefits include comprehensive medical coverage, stock options, and a competitive salary ranging from $181,100 to $318,400.

Qualifications

• 8+ years of experience in software and data science or statistics.
• Experience with A/B testing infrastructure and methodologies.
• Familiarity with causal machine learning tools and technologies.
• Proficiency in SQL and Pyspark or Scala for analyses.
• Ability to understand ambiguous problems and design analytical approaches.
• Excellent communication and presentation skills.

Responsibilities

• Collaborate with stakeholders to identify and prioritize high-impact questions.
• Design and build scalable data pipelines for experimentation.
• Lead analyses of controlled experiments to estimate impact.
• Produce end-to-end analyses using SQL and Python.

Skills

Software and data science

Statistics

SQL

Causal inference

A/B testing

Data engineering

Education

Advanced Degree in Computer Science, Statistics, Applied Math

Tools

Python

Pyspark

Scala

Job description

New York City Metro Area, New York, United States Software and Services

Overview

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.

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 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.

Responsibilities

In this role, you will:

• Collaborate with stakeholders, including senior leaders, to identify, scope, and prioritise high‑impact questions.
• Design and build scalable, reliable data pipelines for experimentation; implement robust data quality checks, monitoring systems, and data lineage tracking.
• Lead the analysis of controlled experiments or counterfactual causal inference studies to estimate the incremental and long‑term impact of interventions.
• Work with cross‑functional teams to design experiments and statistical methods that account for marketplace dynamics and produce reliable treatment effect estimates.
• Produce end‑to‑end analyses using SQL, Python, Pyspark/Scala and statistical methodologies to uncover insights and improve treatment effect estimates.
• Advocate best practices for data engineering and statistical practice across the organization.
• Mentor junior engineers and scientists on the team.

Minimum Qualifications

• 8+ 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.
• Experience with A/B testing infrastructure and methodologies and a 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.
• Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale.
• Strategic partnership with stakeholders, including senior leaders, to identify, scope, and prioritise high‑impact questions.
• Skilled at operating in a cross‑functional organization.
• Ability to understand ambiguous and complex problems and design analytical approaches and turn analysis into clear and concise takeaways that drive action.
• Curious business attitude with a proven ability to seek projects with a sense of ownership.
• Excellent communication, social and presentation skills.
• Desire to work in a fast‑paced and challenging work environment.
• Mentor junior engineers and scientists on the team.

Preferred Qualifications

• Advanced Degree in Computer Science, Statistics, Applied Math or related field.
• 8+ years of industry experience building scalable applications.

Compensation and Benefits

Base pay range for this role is between $181,100 and $318,400. Your base pay will depend on your skills, qualifications, experience and location. Apple offers employee stock options, Employee Stock Purchase Plan, and discretionary restricted stock unit awards. Benefits include comprehensive medical and dental coverage, retirement benefits, discounted products and free services, and reimbursement for certain educational expenses, including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Equal Opportunity Employer

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.

Accessibility

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected throughout our culture, benefits and digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Apply

Apple accepts applications to this posting on an ongoing basis.