¡CAPITOLE CONSULTING sigue creciendo y queremos hacerlo contigo! Buscamos un/a Senior Data Scientist para incorporarse a un proyecto internacional de gran impacto, trabajando con tecnologías de Big Data, Machine Learning e Inteligencia Artificial en entornos cloud. Si tienes experiencia desarrollando modelos de IA, trabajando con PySpark y Databricks, y te apasiona transformar datos en soluciones de negocio de alto valor, esta oportunidad puede interesarte Trabajarás en un entorno multicultural y altamente tecnológico, colaborando con equipos internacionales para diseñar, desarrollar y desplegar soluciones avanzadas de Data Science y Machine Learning.
¿Qué harás?
Desarrollar y optimizar modelos de Machine Learning e Inteligencia Artificial.
Trabajar con grandes volúmenes de datos utilizando PySpark, Apache Spark y Databricks.
Implementar soluciones analíticas y predictivas en entornos AWS o Azure.
Participar en todo el ciclo de vida de los modelos, desde el desarrollo hasta su despliegue y monitorización.
Analizar datos complejos y generar insights que impulsen la toma de decisiones.
Colaborar con equipos técnicos y de negocio en proyectos internacionales.
Aplicar buenas prácticas de desarrollo, versionado de código y metodologías ágiles.
¿Qué buscamos?
Más de 5 años de experiencia como Data Scientist, Machine Learning Engineer o posiciones similares.
Experiencia demostrable en Inteligencia Artificial y Machine Learning (imprescindible).
Dominio de Python, PySpark y SQL avanzado.
Experiencia con Apache Spark y Databricks.
Experiencia en entornos cloud (AWS o Azure).
Conocimiento de librerías de Data Science como Scikit-Learn, TensorFlow y Matplotlib.
Experiencia en gestión del ciclo de vida de modelos y entornos MLOps.
Experiencia utilizando Git para control de versiones.
Inglés nivel C1 (imprescindible).
Residencia actual en España.
Valoraremos especialmente Experiencia con MLFlow.
Conocimientos de Airflow, Azure Data Factory, Control-M o herramientas similares de orquestación.
Experiencia con Azure DevOps o Jenkins.
Conocimientos de optimización matemática (Linear Programming, Integer Programming).
Experiencia en pricing, mercados o analítica avanzada aplicada al negocio.
¿Por qué elegirnos?
Personas en el centro.
Un entorno cercano, flexible y humano.
Proyectos tecnológicos punteros y oportunidades de crecimiento.
1.200€ anuales en formación a tu elección (certificaciones, eventos, cursos, etc.).
Eventos cada dos meses, fiestas, equipo de fútbol y comunidades tecnológicas internas.
Políticas de seguridad de la información
Acceso a información confidencial de Capitole y proyectos asignados. Cumplimiento de las políticas internas de seguridad de la empresa y clientes. Firma de NDA obligatoria.
This job was automatically translated to English. Requirements What we're looking for Experience: 4-6+ years in Data Science / Machine Learning. Languages: Python and SQL. Knowledge: statistics, Machine Learning, predictive modeling, and data analysis. End-to-end experience: from data preparation to model deployment/monitoring. ...
... of machine learning model deployment and monitoring best practices. Technical Skills - Python - PySpark - Apache Spark - Machine Learning - MLflow - Airflow - SQL - Big Data Analytics - Feature Engineering - Statistical Analysis This role is ideal for a data scientist who enjoys combining advanced analytics, machine learning, ...
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Requirements What we're looking for - A Bachelor's degree in Mathematics, Engineering, Telecommunications, or a related field - 3-5 years of experience working as a Data Analyst, Data Scientist or Data Engineer. - Technical Proficiency: Expertise in SQL and Python for data manipulation, analysis, and automation. - Analytical & ...
... automatically translated to English. Requirements What we're looking for - Python: scripting from scratch, data processing and ingestion, file and memory management, data structures, and error handling. - Advanced SQL: joins, aggregations, filters, duplicate detection, orphan records, and Window Functions . - PostgreSQL: large ...
... Platform, orchestrating workflows and deploying models through the intensive use of Airflow, BigQuery, and Vertex AI. Core Technology Stack : Advanced mastery of Python for Machine Learning model development and automation, and expert SQL for data extraction and manipulation. Experience working with Apache Spark for distributed ...
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... code. Experience with Jupyter notebooks and at least one ML library (scikit-learn required; exposure to PyTorch or TensorFlow is a plus). Comfortable writing SQL for data extraction and basic familiarity with data ingestion/ETL concepts. Basic data visualization skills (matplotlib, seaborn, or equivalent) and ability to ...
... of data visualization, for example Power BI . The role Data Engineer | Python + SQL + PostgreSQL We are looking for a Data Engineer with solid experience in Python, SQL, and PostgreSQL to join a project with a strong focus on Open Source technologies. We are looking for a hands-on profile, accustomed to developing data ...
... expertise in forecasting, optimisation, clustering, regression, recommendation systems, and other advanced analytics techniques. - Strong programming skills in Python, PySpark, and SQL. - Hands-on experience working with Databricks and large-scale datasets. - Experience with model selection, validation, performance evaluation, ...
... "end-to-end software product" which has AI or Machine Learning components. - Experience working with Azure or other cloud-based solution. - Strong skills in Python and reasonable SQL understanding. - Experience in testing as essential part of development (unit, integration, etc.). - Knowledges in NLP and Computer Vision. ...