Data Scientist for Predictive Modeling

hace 2 meses


Ciudad de México, Ciudad de México Nielsen A tiempo completo
Principal Data Scientist, Predictive Modeling

Nielsen is seeking a highly skilled Principal Data Scientist to join our team. As a key member of our data science team, 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 rigorous 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 speed and computer usage.
Requirements:
  • 10+ years of experience in data science with a strong background in 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 visualization software.
  • Strong critical thinking, creative problem-solving, and planning skills.
  • English fluency and proficiency in MS Office suite and/or Google Office Apps.
What We Offer:

Nielsen offers a dynamic and collaborative work environment, opportunities for career growth and development, and a competitive compensation package.



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