Senior Data Scientist, Ads Experimentation Platform

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

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.