20 publicaciones de empleo destacadas en data science/mlops (¡Están contratando!)

Data Science Associate Manager
PepsiCo —Cornellà de Llobregat, Barcelona provincia
- Trabajo híbrido
- Informática
- Máster
- Machine learning
Senior Data Scientist Consultant
Provenir Inc —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Español
- Inglés
- Oficina
- Vacaciones pagadas
Solicitud rápida
Experto en Agentes Conversacionales IA - Data & IA
SCH Banco Santander, S.A. —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Inglés
Cloud Data Engineer
SIX Group AG —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Inglés
- SQL
Ingeniero/a en Inteligencia Artificial – Madrid
Converteo —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- Oficina
Expert AI Engineer
Ciklum —En remoto
- Horas extra
- Teletrabajo
- CRM software
- Microsoft Excel
- Azure
8d
AI Senior Data Scientist
Alira Health —Barcelona, Barcelona provincia
- Jornada completa
- Informática
- Inglés
- Máster
Machine Learning Engineer (LLM)
MULTIVERSE COMPUTING —Donostia-San Sebastián, Guipúzcoa provincia
- Español
- Doctorado
- Informática
Solicitud rápida
Data & AI Strategy & Operations Analyst Senior Desarrollo de Negocio No Vida
MAPFRE —Majadahonda, Madrid provincia
- Máster
- Grado
- Agile
Technical Lead - Advanced Analytics & MLOps (m/f/d)
ZF —Barcelona, Barcelona provincia
- Español
- Azure
- DevOps
Data Scientist / Machine Learning Engineer Senior
Serviguide BPO —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- SQL
AI Architect
Fluidra North America —Sant Cugat del Vallès, Barcelona provincia
- Español
- Informática
- Inglés
12h
SENIOR DATA SCIENTIST
Mango —Palau-solità i Plegamans, Barcelona provincia
- Incorporación inmediata
- Trabajo híbrido
- Servicio en mesas
- Azure
- Informática
- Flexibilidad horaria
- Teletrabajo opcional
Backend Developer
Linde Material Handling Ibérica, S.A.U. —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Informática
- Inglés
13d
AI Specialist - Task Automation
ISB Santander Global Technology and Operations, S.L. —Santa Bàrbara, Tarragona provincia
- Jornada completa
- Azure
- Informática
- Máster
- Abono gimnasio
- Seguro de vida
AI Platform Engineer
Neoris —En remoto
- Teletrabajo
- Doctorado
- Informática
- Inglés
Software Engineer (MLOps, AI)
Siemens Energy —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Informática
- DevOps
Senior Data & GenAI Engineer/Consultant - Barcelona
Accenture —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Salesforce
- Oficina
Data Scientist Gen AI
Verisure —Pozuelo de Alarcón, Madrid provincia
- Jornada completa
- Azure
- Informática
- Inglés
Solicitud rápida
Senior MLOps Engineer
Amaris Consulting —Plegamans, Barcelona provincia
- Trabajo híbrido
- Español
- Azure
- DevOps
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
4d

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Data Science Associate Manager

PepsiCo -
Cornellà de Llobregat, Barcelona provincia

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Detalles del empleo

Cualificaciones

TensorFlow
Informática
Máster
Machine learning
Deep learning
Cloud
Inteligencia artificial
Liderazgo
Python

Descripción completa del empleo

Overview:

We’re seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. In this role, you will drive the technical vision, execution, and adoption of data science initiatives that support our global Strategy and Transformation agenda. You will partner closely with business and technology leaders to identify high-impact opportunities and foster a strong data-driven culture.

Responsibilities:

Lead, mentor, and grow a team of data scientists, providing technical guidance and career development
Own the end-to-end delivery of large-scale analytics and machine learning initiatives
Define standards and best practices for model development, data pipelines, and ML production workflows
Oversee the design, deployment, monitoring, and optimization of machine learning systems in production
Partner with business stakeholders to translate strategic goals into data science roadmaps and measurable outcomes
Drive adoption of modern techniques, including Generative AI, where they deliver clear business value
Communicate technical concepts, progress, and impact effectively to business and technical audiences

Qualifications:

Master’s Degree in Data Science, Computer Science, Statistics, or equivalent
5+ years of experience in data science, with leadership or people-management responsibility
Proven experience delivering machine learning solutions using diverse data sources
Strong Python skills and ability to guide production-quality ML code
Solid understanding of software engineering, data engineering, and MLOps best practices
Experience with deep learning frameworks (TensorFlow or PyTorch)
Strong foundation in statistical and mathematical modeling
Experience with cloud-based and distributed computing platforms
Experience with Generative AI, including LLMs, prompt engineering, and RAG architectures

What makes us different?

Hybrid work model: combination of remote and collaborative office experience to enable innovation
Entrepreneurial environment in leading international company
Professional growth possibilities & learning opportunities
Variety of benefits to support your physical, emotional and financial wellbeing
Volunteering opportunities to help external communities

About PepsiCo

We believe that culture should be at the cornerstone of everything we do at PepsiCo. We are agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways to bring enjoyment, refreshment and fun to the world.
PepsiCo Positive (pep+) is the future of our organization – a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people.
So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.

We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.

#LI-Hybrid

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