Sr. Data Scientist, Apple Services Engineering

Sr. Data Scientist, Apple Services Engineering At Apple, we believe in the power of technology to enrich people's lives. Do you want to make an 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 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. 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, engineers and product teams in areas like: UX, Search, Recommendations and others with goals of maintaining and improving our customer experience across App Store, Apple Music, TV and other services. Description Partner closely with engineering, product, and machine learning teams. Work falls broadly into these areas: Experimentation: Improve quality of experimentation planning, design and analysis, use advanced techniques and processes to address statistical challenges and accelerate testing. Metrics design: Translate business requirements into analytical solutions, explore, validate, standardize and automate pipelines to increase coverage for appropriate KPIs in reporting tools. Ad-hoc analysis: Develop customer and product knowledge. Presenting and communicating: Communicate complex analytical concepts and findings in a clear and concise manner to stakeholders at all levels of the organization. Minimum Qualifications 6 years of relevant industry experience. Master of Science degree in Data Science, Biostatistics, Statistics, Computer Science, or related engineering field. Extensive background and proven expertise in statistical experimentation methods, such as AB testing, experimental design, power analysis, and non-parametric statistics. Knowledge and hands-on experience with Natural Language Processing (NLP) and text data analysis, including collecting and cleaning data, performing exploratory data analysis, identifying patterns and trends, feature extraction, modeling, and developing sentiment analysis. Proficiency in one or more of: SQL, Spark, Python/R/Scala. Deep understanding of common data science toolkits, such as pandas, NumPy, dplyr, etc. Experience using data visualization tools, such as Tableau, GGplot, matplotlib, seaborn, etc. Great communication skills and the ability to explain findings and concepts in layperson terms to key decision makers. Preferred Qualifications PhD is preferred. Knowledge and/or experience in one or more in: Bayesian methods, multi-armed bandit, multivariate testing, and causal inference is a plus. Proven track record of working openly and collaboratively in x-functional environment and lead multiple projects simultaneously. Statistical modeling, Machine Learning experience is a plus. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. J-18808-Ljbffr