Data Scientist

• Develop, prototype, and deploy AI and Machine Learning solutions to address complex business challenges.
• Create rapid Proofs of Concept using Python, Streamlit, and Machine Learning frameworks .
• Design, optimize, and maintain data pipelines, models, and analytical solutions to ensure scalability and performance.
• Collaborate with Data Scientists, ML Engineers, Product teams, and business stakeholders to deliver impactful data-driven solutions.
• Participate in the development of forecasting models, optimization algorithms, recommendation systems, Computer Vision, NLP, and Generative AI initiatives .
• Implement Machine Learning and Deep Learning models in production environments using cloud and Big Data technologies.

• Stay current with the latest industry trends and emerging technologies in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, NLP, and Generative AI . WHY US? Join our dynamic team of talented people and discover a world full of growth and opportunity. Here’s what we offer:

• Rapid growth through a personalised career path and salary assessment. 70% of our senior leaders started in entry-level positions.
• Improve your skills through our Technology Academy catalogue, Udemy platform, language classes, webinars and workshops.
• Take control of your training with a personal annual budget and company-paid certifications.
• Enjoy flexible policies, remote work options and excellent social benefits such as transport and restaurant tickets, childcare support and private health insurance.
• Benefit from our WeCare programme, which supports employees in critical situations.
• Unlock your full potential, both professionally and personally. Amaris Consulting prides itself on being an equal opportunity employer. We are committed to promoting diversity within the workforce and creating an inclusive work environment. To this end, we welcome applications from all qualified candidates, regardless of gender, sexual orientation, race, ethnicity, creed, age, marital status, disability or other characteristics. Provide your feedback on BizChat Inscribirse en esta oferta Recibir ofertas similares por correo electrónico Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies.

Take your career to the next level with Amaris Consulting as a Senior Data Scientist . Be part of an international team, thrive in a global group with a €800M turnover and over 1,000 clients worldwide, and work in an agile environment. The ideal candidate will have a proven track record in developing and deploying AI and Machine Learning solutions in production environments, transforming business challenges into data-driven opportunities. Spanish fluency is required as part of this role. ️ WHAT WOULD YOU NEED? ️

• 5+ years of experience as a Data Scientist, Machine Learning Engineer, or similar role.
• Strong proficiency with Python for Machine Learning and AI development.
• Experience with Deep Learning frameworks such as TensorFlow and/or PyTorch .
• Solid knowledge of Machine Learning algorithms, neural networks, model evaluation techniques, and software development best practices , as well as version control tools such as Git.
• Familiarity with AWS services (S3, Lambda), Databricks, MongoDB, Apache Airflow, Jenkins, and Big Data technologies .
• Proven experience with end-to-end Machine Learning project development and deployment in production environments .
• Advanced proficiency in Spanish (written and spoken).
• Strong problem-solving skills and ability to work both independently and as part of a team.

Kapsch TrafficCom Transportation U. Alcobendas Madrid Data Scientist Holaluz-Clidom S.A. Barcelona, Catalonia, 08039 Data Scientist Thetaray Madrid, Community of Madrid, 28006 Volver a la última búsqueda Trabajos ) Data Scientist ( volver a la última búsqueda Recibir ofertas similares por correo electrónico No gracias, llévame a la oferta de empleo Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies. Inscribirse en esta oferta

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