The Amazon ORC Classification Analytics team is looking for a creative problem solver, analytical and technically skilled Business Intelligence Engineer to join our dynamic team. This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and data engineering practices as well as proficiency in hypothesis testing, including parametric and non parametric tests and is familiar with A/B testing, understanding factors like random assignment, statistical power, p values, confidence intervals, potential biases along with strong grasp of frequentist statistics. The ideal candidate will help us to build data pipelines and robust metrics decks, perform advanced statistical analysis, and measure the success of our model deployments. If you have a knack for translating complex data insights into actionable strategies and can communicate these effectively to both technical and non technical audiences, we''d love to hear from you! Your responsibilities will include: Collaborate with cross functional teams to understand business needs and provide data driven recommendations. Ability to clearly articulate assumptions, methodologies, results, and implications. Able to present deep dives and analysis to both technical and non technical stakeholders, ensuring clarity and understanding. Design and implement metrics to measure the success and effectiveness of classification models by understanding the nuances and potential pitfalls. Use visualization tools and develop data pipelines to publish the metrics to internal and external stake holders Implementation of various sling techniques with the ability to handle issues arising from sling, like sling biases. Able to do statistical tests like hypothesis testing, including parametric and non parametric tests and is familiar with A/B testing Basic qualifications Bachelor''s or Master''s degree in Statistics, Data Science, Computer Science, or related field. Experience in Business Intelligence, Data Analysis, or a similar role. Proficient in scripting languages (e.g., R, Python, SQL). Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, PowerBI). Strong understanding of A/B testing, sling methodologies, and other statistical analysis. Proficient in descriptive statistics and familiar with inferential statistical methodologies. Exceptional commu... Hypothesis Testing, Analytics, Python, Data analysis, R, Visualization, Science, Strategies, Articulate, Communication, Sling, Critical thinking, Tableau, Decks, A/B Testing, Manners, Contracts, Design, Creative work, Model Deployment, Scripting language, Metric, Pipelines, SQL, Problem Management, Code quality, Data Science, Communication, MS Excel, Methodology, Classification, Data engineering, Translation, Problem Management, Computer science, Power BI, Statistics, Implementation Originele vacature is te vinden op StepStone.be Maak nu een Jobag