.Aug 29, 2024 - Nielsen is hiring a remote Principal Data Scientist, Predictive Modeling. Location: Mexico.At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.Principal Data Scientist, Predictive ModelingWhat would make me a great candidate?You enjoy applying your skills to developing new models and processes for predictive modeling. You are able to be both hands on in creating models and equally capable of overseeing the work of others as they apply the tools you have built to additional datasets. You are familiar with survey research and recommendation engine models. You are highly analytical and are able to defend the validity of your models by conducting hold-out analyses, and presenting the results in plain language to people outside of the Data Science industry. You have a passion for continuous improvement, driving operational efficiency in the speed of modeling, the volume of compute power used, etc. You're excited to build new capabilities and help drive advancement of the business.Responsibilities:Design, test and implement recommendation engine models to turn sparse datasets into synthetic datasets. This includes writing code from scratch. Must be proficient with reading, manipulating and analyzing big data and writing new code to build models.Prove model validity through analytic research (e.G. holdouts) and speak to predictive power internally and externally to clients as needed.Use iterative modeling to determine the ideal parameters for the sparse data - e.G. minimum level of completeness, key required datapoints that drive higher predictive accuracy, minimum number of datapoints required for a given predicted variable, etc.Using the analytic findings from ideal parameter exploration, consult with internal and external partners on the best way to source the ideal sparse data.Support screening and hiring of other data scientists in the mid to long term future. Support onboarding and development of more junior data scientist staff. Serve as a subject matter expert for others internally and externally. Provide technical assistance in predictive modeling methodologies, data manipulation, fusion, and modeling.Define and implement a vision for scaling new models across increasingly larger datasets - driving for efficient speed, computer usage, etc.Support automation for scaling routinized processes.Support pilot programs for R&D purposes.Conduct tactical or strategic analyses to address business and customer opportunities.Utilize tools such as Python, R, SPSS, etc. to perform complex data analysis, develop tools for automating procedures