Apple Media Products, Senior Data Scientist - Experimentation

Job Description

Summary

Posted: Sep 22, 2022 Weekly Hours: 40 Role Number: 200362084 Do you want to make impact on how decisions are made by Engineering teams? If you love using statistical methods and analysis to influence products design and offerings’ decisions, then look no further. This growing team in the Apple Media Products group provides insights through data that drive decision-making for our engineering and product teams. We are looking for a Senior Data Scientist that can work with big data, run appropriate AB testing and exploratory analysis, develop/apply advanced experimentation methodologies, derive valuable insights, and help us build automated reporting tools from the data we collect on AppStore, Apple Music, Movies & TV, etc. This is a high impact role within the experimentation organization. The candidate for this role must have proven expertise in statistical experimentations. This role will be working daily with researchers and engineers in areas like: UX, Search, Recommendations and others with goals of maintaining and improving our customer experience.

Key Qualifications

Key Qualifications

• Minimum of six years of relevant industry experience
• Must have:
• Extensive background and proven expertise in statistical experimentation methods, such as AB testing, experimental design, power analysis and non-parametric statistics.
• Knowledge and/or experience in one or more in: Bayesian methods, multi-Arm bandit, multivariate testing, and causal inference is a plus.
• Statistical modeling, Machine Learning is a plus
• Proficiency in using query including SQL and Hive
• Experience with large data systems and distributed computing, such as Hadoop.
• Experience with programming languages such as R/Python, Spark, or Scala
• Experience with common data science toolkits, such as pandas, dplyr, NumPy, etc.
• Experience with data visualization tools, such as ggplot, matplotlib, seaborn etc.
• Great communication skills and ability to explain findings in layperson terms to key decision makers
• Able to understand various data structures and common methods in data transformation.

Description

Description Your primary focus will be on applying statistical methods, develop A/B, multivariate and other testing procedures, and automating data pipelines to develop new KPIs. Curiosity, passion for mining the data and communicating findings are must have for success. Output of the work we do impacts how decisions are made by Engineering and other teams at Apple. This growing team builds capabilities and provides insights through data that drive decision-making for our engineering and product teams. Additional expectations of this role include: Partner closely with engineering, product, and machine learning teams. Work falls broadly into three areas: Experimentation: Improve quality of experimentation planning, design and analysis, support infrastructure upgrades, use advanced techniques and processes to address statistical challenges and accelerate testing. Data enhancement : explore, validate, standardize, automate pipelines and increase coverage for new KPIs and reporting tools. Ad-hoc analysis to develop customer and product knowledge.

Education & Experience

Education & Experience Master’s Degree in Computer Science, Statistics, Applied Math or related discipline. PhD preferred.

Additional Requirements

Additional Requirements