Trabajo de Data Scientist Lead - Monterrey en Listopro, Nuevo León - México



Rango de salario (MXN)

Tipo de empleo

Fecha de publicación

Data Scientist Lead - Monterrey

  • Sueldo (MXN)

    $ 50,000 a 60,000

  • Lugar:

    Monterrey, Nuevo León

  • Tipo de puesto

    Empleado de tiempo completo

  • Nivel de Inglés

    Nivel Avanzado

The role will lead ideations of new cases to be launches in campaigns, develops models and analytics for the Loyalty program that enable estimation of potential impact and the successful execution and measurement of these use cases and campaigns.



-Develop and align campaign strategy and calendar with CRM to ensure campaign feasibility.

-Develop and analyze key metrics to measure ROI of actions, leading and proposing design of control groups for campaigns to increase measurement efficacy and report campaign results to enable strategic decision making.

-Mastery in management of different programming languages R, SQL, Python and Spark) required to develop analytics models for complex use cases.

-Define KPIS and measurement methodology (eg. daily vs. weekly, by unique user vs, by segments, etc.) for these new cases to ensure a proper measurement for the program.

-Estimate potential impact of use cases to ensure strategic decision-making and calidate modeling feasibility prior to campaign approval.

-Define segments to apply the new use cases based on predictive analysis to increase the frequency of visits and traffic.

-Conduct QA meetings to align on final offer details and audience segmentation of new cases with all the departments involved, such as Customer Acquisition and Value Management, BPOs and Promos and Customer Operations, ensuring alignment between these for the proper executions and implementation of new use cases.

-Design and develop models, cells and segments for the proper execution and implementation of new use cases.



  • Bachelor´s Degree.
  • 5+ years of experience in data science.
  • Experience/knowledge in Machine Learning production models.
  • Knowledge in Python and analytic models.
  • Previous work experience in retail or banks.
  • Knowledge in customer retention.
  • Advanced English.
  • Organization skills.
  • Decisions maker
  • Systematic thinking.
  • Client orientation (must).
  • Strategic Relations (must).