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Urgent! Data Scientist Manager Job Opening In San Salvador – Now Hiring Millicom

Data Scientist Manager



Job description

Would you like to help us achieve our purpose of connecting more people, improve their lives and develop our communities?

If so, Tigo is for you

We are champions of positive transformation.

We believe in innovation, adaptation, and prioritizing our customers at the core of all our actions.

Come and grow with our team, where together we will transform lives and communities.

Additionally, you will have the opportunity to participate in challenging projects and bring your innovative ideas.

This is your opportunity, come and be part of Sangre Tigo

Apply right now

Data Scientist Manager

Funciones principales:

  • Alinear las necesidades estratégicas de los negocios con el desarrollo de modelos predictivos.

  • Análisis de datos y generación de insights: Analizar grandes volúmenes de datos provenientes de diversas fuentes de negocios(Transacción, Suscripción, Tigo Money, B2B, Network, entre otros) para identificar patrones, tendencias y oportunidades que apoyen las decisiones estratégicas del negocio.

  • Desarrollo de modelos predictivos: diseñar, desarrollar, entrenar y optimizar modelos predictivos utilizando técnicas avanzadas de Machine Learning para mejorar procesos tales como predecir comportamientos de clientes, score de calidad de pago, oportunidades de upsell y crosselling, etc.

  • Definición y monitoreo de métricas clave: Colaborar con las áreas de negocio para definir y establecer métricas de rendimiento de los modelos predictivos y su valor generado, garantizando la medición adecuada de los indicadores clave de desempeño (KPIs).

  • Desarrollo continuo de nuevas variables y mejora de las existentes para los modelos predictivos.

  • Presentar ante directores y gerentes los resultados de los modelos predictivos.

Requisitos:

  • Graduado de Ingeniería de Negocios, Ingeniero en Sistemas Informáticos, Economía, Estadística o áreas afines.

  • Deseable posgrado o especialización en Ciencia de Datos, Machine Learning o disciplinas similares.

  • Mínimo 3 años de experiencia en roles relacionados con análisis de datos, modelado predictivo y Machine Learning
  • Dominio avanzado de Python y bibliotecas como Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn para análisis de datos y visualización.

  • Conocimientos avanzados en SQL para extracción y manipulación en bases de datos relacionales y no relacionales.

  • Herramientas de visualización: Power BI
  • Experiencia en el uso de técnicas de Machine Learning , incluyendo regresión, clasificación, clustering y análisis predictivo .

    • Experiencia deseable en Amazon Sagemaker.

Our people are the soul of Tigo El Salvador.

We employ more than 4,500 people directly and indirectly, which makes us proud of being a responsible company that contributes to the economic growth of the country.

More than job opportunities, at Tigo we create professional development networks where our employees have no barriers to reach their full potential.

Our Sangre Tigo culture is lived in every corner of our work centers, pushing us to be the best.

Sangre Tigo moves us to work together with a purpose, to be innovative, agile and disciplined, to guide our actions by our integrity, to place our clients at the center of everything we do, to be engines of positive change, being always proud of our history.

We promote the digital lifestyle and take full advantage of technology to facilitate the day-to-day life of our clients.

Throughout the years, we have been acknowledged as one of the top workplaces in El Salvador and Central America.

At Tigo, we are not just a great workplace; we are a community of amazing people to work with.

We welcome you to join our team

Apply Now

Millicom | Tigo is proud to be an Equal Employment Opportunity employer committed to a diverse workforce and nondiscrimination policy in all aspects of employment.

We provide equal opportunity and access for all persons, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a disabled veteran or other protected veteran, or any other protected characteristic, in all phases of the employment process and in compliance with applicable federal, state, and local laws and regulations.


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    Unlock Your Data Scientist Potential: Insight & Career Growth Guide


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