Data Scientist/ Sr Data Scientist
hace 1 mes
At Repsol, we are committed to equality and do not request personal information.
We believe that diversity contributes to innovative ideas and provides added value that enables us to benefit from mutual learning and perform our best work. Here, what counts is your experience and your ability to create value. We offer you the opportunity to grow professionally, develop your career with challenging projects and collaborate with talented people worldwide. As a company committed to diversity and inclusion, we encourage all professionals who meet the job description requirements to apply.
En Repsol apostamos por las personas, por eso el equipo humano que formamos reúne a profesionales con una amplia variedad de trayectorias, habilidades y culturas. La combinación de tal riqueza de talentos y recursos permite crear equipos diversos, comprometidos y dinámicos que trabajan para hacer realidad los objetivos de la compañía y nos impulsan hacia el éxito.
Al mismo tiempo, promovemos espacios de trabajo inclusivos que contribuyan a que las personas pueden desarrollar todo su potencial profesional, fomentando el trabajo en equipo y la colaboración entre las distintas áreas de Repsol.
Por ello, estamos comprometidos con la igualdad de oportunidades, la diversidad y la inclusión, desarrollando procesos de selección accesibles, basados en capacidades y libres de cualquier forma de discriminación.
Repsol en su ambicioso plan de Transformación Digital, quiere incorporar un Data Scientist para su Data & Analytics HUB. Rol profesional o profesional Sr.
Responsabilidades
Trabaje con las partes interesadas de toda la organización para identificar oportunidades para aprovechar los datos de la empresa para impulsar soluciones empresariales.
Extraiga y analice datos de las bases de datos de la empresa para impulsar la optimización y mejora del desarrollo de productos, técnicas de marketing y estrategias comerciales.
Evaluar la eficacia y precisión de las nuevas fuentes de datos y técnicas de recopilación de datos.
Desarrollar modelos de datos y algoritmos personalizados para aplicar a conjuntos de datos.
Utilice el modelado predictivo para aumentar y optimizar las experiencias de los clientes, la generación de ingresos, la orientación de anuncios y otros resultados comerciales.
Desarrollar el marco de pruebas A / B de la empresa y la calidad del modelo de prueba.
Coordine con diferentes equipos funcionales para implementar modelos y monitorear resultados.
Desarrollar procesos y herramientas para monitorear y analizar el rendimiento del modelo y la precisión de los datos
Requisitos
Experiencia en el uso de lenguajes informáticos estadísticos (R, Python, SLQ, etc.) para manipular datos y extraer información de grandes conjuntos de datos.
Conocimiento de una variedad de técnicas de aprendizaje automático (agrupamiento, aprendizaje de árbol de decisión, redes neuronales artificiales, etc.) y sus ventajas / inconvenientes en el mundo real.
Conocimiento de técnicas y conceptos estadísticos avanzados (regresión, propiedades de distribuciones, pruebas estadísticas y uso adecuado, etc.) y experiencia con aplicaciones.
Excelentes habilidades de comunicación escrita y verbal para coordinar entre equipos.
Un impulso para aprender y dominar nuevas tecnologías y técnicas.
Estamos buscando a alguien con 5-7 años de experiencia, tiene una maestría o doctorado en estadística, matemáticas, informática u otro campo cuantitativo, y está familiarizado con los siguientes softwares / herramientas:
Conocimiento y experiencia en técnicas estadísticas y de minería de datos: GLM/Regresión, Random Forest, Boosting, Trees, minería de textos, análisis de redes sociales, etc.
Experiencia consultando bases de datos y utilizando herramientas informáticas estadísticas: SQL, SAS, R, Python, Tensor Flow, etc.
Experiencia en la creación y uso de algoritmos y estadísticas avanzadas de aprendizaje automático: regresión, simulación, análisis de escenarios, modelado, clustering, árboles de decisión, redes neuronales, etc.
Experiencia con herramientas de datos/computación distribuidas: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Experiencia visualizando / presentando datos para las partes interesadas usando: Periscope, Business Objects, D3, ggplot, etc.
Qué ofrecemos?
• Competitivo paquete salarial
• Propuesta de retribución flexible (seguro de salud, plan de pensiones, ticket restaurant, etc.)
• Medidas de conciliación y bienestar:
Horario flexible y posibilidad de teletrabajo
Jornada intensiva todos los viernes y verano
Magníficas instalaciones con cafeterías, banco, servicio médico, gimnasio, servicio de fisioterapia y nutrición y banco de tiempo
Servicios asistenciales al empleado y a su entorno.
#LI-IM1
Required skills:
Job posting end date:31-05-2024
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