Principal Data Scientist, Predictive Modeling Published 17 Aug 2024 Share this job Mexico Full Time Role Highlights Python SQL S3 Data Science Data Analysis Time Series Decision Trees Computer Science Problem Solving SME Relational Database Critical Thinking DataSets Research Automation Mathematics Statistics Economics Scripting Regression Testing Support Vector Machines Google Analytics Tools, Libraries and Frameworks MS Office Oracle Tableau PowerPoint BitBucket Confluence Jira DataBricks AWS PyTorch AD Description The role focuses on applying AI through developing and implementing models for predictive analytics, including recommendation engines. The candidate will be responsible for creating models, overseeing their application on various datasets, and driving operational efficiency in the modeling process. The position involves conducting analytic research to validate models and consulting with both internal and external stakeholders. Additionally, the role includes supporting the development of junior staff and driving the scaling of new models across larger datasets. Required Qualifications and Skills The position requires an undergraduate or graduate degree in fields such as Mathematics, Statistics, or Data Science, and a minimum of 10 years of relevant data science experience. Candidates are expected to have significant experience in predictive modeling, specifically with recommendation engines, and should be proficient in Python and its related packages. Familiarity with machine learning techniques and strong analytical skills to perform complex data analysis are also necessary. Excellent communication skills, both verbal and written, are essential for presenting analytic findings to various audiences. Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information. Nielsen's division Gracenote is a top provider of entertainment information, supplying industry-leading databases of TV, movie, and music metadata for entertainment guides, applications, and in-car entertainment, making it the leading supplier of TV and Movie entertainment data. Gracenote is a global standard for music and video recognition supported by the largest source of entertainment data, featuring descriptions of more than 200 million tracks, TV listings for 85+ countries, and statistics from 4500 sports leagues and competitions. By connecting clients to audiences, Nielsen fuels the media industry with the most accurate understanding of what people listen to and watch, aiming to propel the industry forward by maximizing new technologies and identifying market gaps. #J-18808-Ljbffr
