Anunciado 20 de febrero 
 (Publicada de nuevo)
Esta oferta no acepta candidaturas
Tipo de jornada
Sin especificar
Tipo de contrato
Sin especificar
Salario
60.000€ - 90.000€ bruto/año
Estudios mínimos
Sin especificar
Nivel
Sin determinar
Número de vacantes
1
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Descripción del empleo
  • Machine Learning Engineering Lead |International technology company that develops its own product.

International technology company that develops its own product.




The successful candidate will join the company's Technology Department as a Machine Learning Engineering Lead. In partnership with multiple stakeholders, you will focus on developing and delivering leading edge analytics solutions using Google Cloud and, as a key member of our engineering practice, you will mentor a small team of data scientists and analysts as we grow and drive the data science capability of the team. He/she will assume the following responsibilities:

  • Define and support the research and analytical process to deliver business insights

  • Responsible for advanced statistical and machine learning modeling

  • Develop data driven analytical tools

  • Machine learning - build models that can be used for asset health and grid operations

  • Lead a small team of data scientists and data engineers


We Offer:

  • Full-remote and flexible hours.

  • Technologically advanced project.

  • Career plans.



Requisitos mínimos

Expectations for Skills & Experience:

  • Extensive experience in GCP, preferably using Google BigQuery or similar data warehouses.

  • Excellent programming experience with either SAS/SQL/R or Python.

  • Extensive experience with advanced statistical and machine learning techniques.

  • Ability to initiate and drive analytics projects from inception to delivery, and productionize and automate the process with excellent programming skills.

  • Experience working with CI/CD pipelines.

  • Experience with utility time series data will be a plus.

  • Test automation experience.

  • A good level of conversational English is essential.



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