Data Scientist, Predictive Modeling Expert

hace 2 semanas


Ciudad de México, Ciudad de México The Nielsen Company A tiempo completo
About the Role

We are seeking a highly skilled Data Scientist to join our team at The Nielsen Company. As a Data Scientist, you will be responsible for designing, testing, and implementing recommendation engine models to turn sparse datasets into synthetic datasets.

Key Responsibilities
  • Design and implement recommendation engine models to drive business growth and improve customer experiences.
  • Prove model validity through analytic research and communicate results to stakeholders.
  • Use iterative modeling to determine the ideal parameters for sparse data and consult with internal and external partners on data sourcing.
  • Support the development and onboarding of junior data scientists and serve as a subject matter expert for predictive modeling methodologies.
  • Define and implement a vision for scaling new models across larger datasets and drive efficiency in modeling and data analysis.
Requirements
  • 10+ years of relevant data science experience in implementing various types of modeling, with a focus on predictive modeling and recommendation engines.
  • Strong skills in Python and relevant packages, including pytorch and familiarity with other scripting languages.
  • Knowledge of statistical tests and procedures, machine learning techniques, and data modeling methodologies.
  • Strong critical thinking and creative problem-solving skills, with the ability to communicate complex ideas to non-technical stakeholders.
  • Experience working in a time-critical production environment and proficiency in MS Office suite and/or Google Office Apps.
What We Offer

As a Data Scientist at The Nielsen Company, you will have the opportunity to work on high-impact projects, collaborate with a talented team of data scientists and analysts, and contribute to the development of innovative data-driven solutions. We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.



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