Sr. Data Scientist, Apple Services Engineering

At Apple, we believe in the power of technology to enrich people's lives. This Data Science team in the Apple Services Engineering organization provides insights through data that drive decision-making for our engineering and product teams. We are looking for a Senior Data Scientist who can work with big data, design and conduct AB tests, perform exploratory analysis, derive and communicate valuable insights, collaborate with product managers, engineers, and other x-functional teams to understand business requirements and translate them into analytical solutions.

Key responsibilities include:

1. Experimentation: Improve quality of experimentation planning, design and analysis, use advanced techniques and processes to address statistical challenges and accelerate testing.
2. Metrics design: Translate business requirements into analytical solutions, explore, validate, standardize and automate pipelines to increase coverage for appropriate KPIs in reporting tools.
3. Ad-hoc analysis to develop customer and product knowledge.
4. Presenting and communicating complex analytical concepts and findings to stakeholders at all levels.

This high-impact role within the experimentation organization requires proven expertise in statistical experimentations. You'll be working daily with researchers, engineers, and product teams in areas like UX, Search, Recommendations, and others, with goals of maintaining and improving customer experience across App Store, Apple Music, TV, and other services.

The ideal candidate will have:

• 6+ years of relevant industry experience
• Master of Science degree in Data Science, Biostatistics, Statistics, Computer Science, or related engineering field (PhD preferred)
• Extensive background in statistical experimentation methods (AB testing, experimental design, power analysis, non-parametric statistics)
• Experience with Natural Language Processing (NLP) and text data analysis
• Proficiency in SQL, Spark, Python/R/Scala
• Deep understanding of data science toolkits (pandas, NumPy, dplyr, etc.)
• Experience with data visualization tools (Tableau, GGplot, matplotlib, seaborn, etc.)
• Excellent communication skills

Join Apple and make an impact on how decisions are made by Engineering teams in one of the world's most innovative technology companies!