![The Nielsen Company](https://media.trabajo.org/img/noimg.jpg)
Lead Data Scientist
2 weeks ago
Key Responsibilities
Research, design, develop, implement, and test econometric, statistical, causal inference, and machine learning models. - Create various prototypes for research and development purposes. - Design, write and test modules for Nielsen analytics platforms using Python, SQL, Spark, and AWS products. - Utilize advanced computational/statistics libraries including Spark MLlib, Scikit-learn, SciPy, StatsModel, SAS and R - Document and present econometric, statistical, and causal inference methods to within company associates. - Work with Product on setting the direction for new analytics research and product development for engaged track(s). - Partner with Product organization on resolving issues that users face. - Provide guidance to junior data scientists.
Key Skills
PhD level coursework in Statistics, Econometrics, Applied Mathematics, Biostatistics, Chemometrics, Computer Science subfield of Machine Learning, Industrial Engineering, Operations Research, Psychometrics, Physics, or other discipline that is concerned with developing and studying methods for collecting, analyzing, interpreting and presenting empirical data. - Expertise in coding and testing of analytical modules using Python, SQL, Spark, and AWS. - Expertise in at least one statistical software or machine learning package, such as Scikit-learn and StatsModels. - Experience with Git or other version control tools. - Well-organized and capable of handling multiple mission-critical projects simultaneously while meeting deadlines. - Excellent oral and written communication skills - Systematic thinking skills to predict edge cases and identify risks during code development. - Critical thinking skills to evaluate results in order to make decisions. - Abilities to solve problems independently and within a team. - Work with cross-functional team to resolve any hurdles in the projects. - Experience managing or mentoring data scientists.
Requirements
Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or other Quantitative Field of Study. - 7+ years of work experience in delivering analytics software solutions in a production environment. - 7+ years of work experience in quantitative marketing analysis, with an emphasis on statistical, econometric and predictive analytic research that drives analytic product Innovation and implementation.
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