Latin America / Mexico / CDMX / Mexico City / 1

Data Science

#: 743999737792380 / 50244888



Descripción del empleo


Responsible for executing and leading the analysis required in the projects independently, using statistical methodologies and Machine Learning algorithms, adding value to the results in an innovative way and managing expectations with the manager and internal clients.


  • Play a key role in analytical projects from beginning to end; including the development of plans, leading the analysis, summarizing and presenting results with the stakeholders
  • Use statistical methodologies and global developments to analyze data interacting by themselves with global Methods & Product
  • Lead the development of new methods, projects, initiatives 
  • Ensure the integrity of the project 
  • Supervision of tasks assigned to the rest of the team (Jr, Regular Statistician)


Accuracy is the name of the game, and we’ve got the data to prove it. If precision and quality are important to you, you’ll fit right in as a  SR Statistician  at Nielsen. When you’re working on a global scale, knowledge is key. Our Analytics team helps deliver world- class insights, combining data with expertise Join us.


  • Bachelor's Degree in Actuarial Sciences, Statistics, Applied Mathematics or similar
  • Minimum 3 years experience in R and / or Python using statistical packages and algorithms
  • Big Data / Cloud Tools
  • Advanced level of use of Google applications (Sheets, Slides) and Office (Excel, PowerPoint)
  • Intermediate knowledge of Machine Learning algorithms
  • Strong statistical data analysis ability
  • Experience in Data visualization tools
  • Strong statistical data analysis capacity
  • Experience in Data visualization tools
  • Advanced knowledge of statistical methodologies for data analysis, particularly sampling techniques and multivariate analysis.
  • Ability to interact with multicultural work teams remotely
  • Interested in continually learning and adopting new technologies/tools
  • Advanced English Level