Data Scientist (end Client) - Madrid

Información del Proceso
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Data Scientist (end Client)

HAYS
25/04/2018

Descripción

Leading multinational company end client is looking for a Data Scientist for their office in Madrid.

Responsibilities:

Selecting features, building and optimizing classifiers using machine learning techniques.
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis.
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Develop company A/B testing framework and test model quality.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.

SKILLS

Fluent in English C2 - international context
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
Experience with distributed Data/ computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL.
Experience or Master in Business Analytics and Big Data
Experience visualizing/ presenting data for Stakeholders using: PowerBI, Business Objects, Qlick.
Excellent written and verbal communication skills for coordinating across teams
Frequent travels will be required
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawback
Good knowledge of Long Term Leasing activity is a plus
A drive to learn and master new technologies and techniques.
Strong problem solving skills.


Tecnologías
Funciones Profesionales

Detalles de la oferta
  • Idioma: Inglés (Excelente)
  • Experiencia: 3-5 años
  • Tipo contrato: Indefinido
  • Jornada: Jornada completa
  • Honorarios: No especificado