5 publicaciones de empleo destacadas de it solutions operations engineer (applications support) en parets del vallès, ct (¡Están contratando!)

Senior Data Scientist
Clarivate —Barcelona, Barcelona provincia
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- Trabajo híbrido
- Azure
- Informática
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Head of Product, Connect
Nuitée —Barcelona, Barcelona provincia
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- APIs
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(Senior) Inhouse Consultant (m/f/d) - Lead to Cash (L2C)
TecAlliance —Barcelona, Barcelona provincia
- Media jornada
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- Español
- Informática
- Ventas
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Sales Application Specialist Biotechnology
Werfen —Barcelona, Barcelona provincia
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- Inglés
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Senior Product Designer B2B
eDreams ODIGEO —Barcelona, Barcelona provincia
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- Oficina
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- Liderazgo

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Senior Data Scientist

Clarivate -
Barcelona, Barcelona provincia

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Detalles del empleo

Jornada completa
Hace 5 horas

Cualificaciones

CI/CD
Motores de búsqueda
Azure
Informática
Máster
AWS
Docker
Machine learning
NLP
UX
Agile
Cloud
Python

Descripción completa del empleo

Clarivate is looking to expand its data science team with a talented Senior Data Scientist to join us in Europe, on a hybrid model, from our Barcelona Office.

If you're passionate about shaping the future of knowledge search and discovery, we'd love to have you on board!

By working with us, you'll have the opportunity to develop cutting-edge machine learning and AI models to enhance the user experience of customers in the intellectual property & science domains. Our ultimate goal? Empowering researchers and professionals to unlock the full potential of their work, discover new insights and make a lasting impact on the world.

About You – experience, education, skills, and accomplishments

Master's degree in Computer Science, Data Science, Machine Learning, Engineering, or a related field preferred.
At least 5 years of professional experience in Machine Learning, Artificial Intelligence, Natural Language Processing, Data Science, or a related technical field, including the delivery of AI/ML/NLP solutions in production environments.
At least 3 years of hands-on experience across the machine learning lifecycle, including data acquisition, preprocessing, feature engineering, model development, validation, deployment, monitoring, and retraining for tasks such as classification, regression, clustering, and ranking.
At least 5 years of Python development experience, including building, testing, and deploying production-grade applications, data pipelines, or machine learning solutions.
At least 2 years of experience with cloud-based ML platforms (AWS, Google Cloud, and/or Azure) and MLOps technologies such as Docker and MLflow in enterprise or production environments.
At least 3 years of experience working in Agile software development environments, including code reviews, version control, automated testing, CI/CD practices, and delivering solutions in situations with evolving requirements and ambiguity

It would be great if you had. . . .

Strong problem-solving skills and a passion for staying current with advancements in machine learning, NLP, generative AI, and related technologies.
Excellent communication and presentation skills, with the ability to influence decision-making across technical and non-technical audiences.
Demonstrated ability to collaborate effectively with peers, present technical work, incorporate feedback, and drive continuous improvement.

What will you be doing in this role?

Identify strategic information needs of internal or external clients and translate these into effective, performant and impactful AI solutions.

Work in collaboration with other Data Scientists to create solutions that support professional, highly skilled decision makers in their innovation workflow.
Explore existing data for insights and recommend additional sources of data for improvements.
Perform exploratory analysis to uncover insights and identify opportunities for innovation.
Design and execute experiments to validate hypotheses and measure business impact.
Collaborate with engineering teams to ensure successful integration and deployment of solutions into production environments.
Communicate findings, recommendations, and technical concepts clearly to diverse audiences.
Contribute to the adoption of best practices in machine learning, experimentation, and model evaluation.

Product you will be developing

We are mainly using Python for model and code development, you can use whatever IDE & tools you like best (we have people using PyCharm, Databricks, Jupyter Notebook, …), model deployment is on either AWS or Google Cloud depending on the internal customer’s preference, projects are assigned on a quarterly basis but most span multiple quarters up to a year and a half. Over the past 2 decades, we’ve covered everything from UX experiments, decision support systems, search engines, information extraction, machine learning, generative AI – you name it. So the work you’ll be doing will be quite varied and allow you to expand and apply your knowledge on all the latest developments in the AI/ML/MLP domains.

About the team

Within a larger Data Science, Search and Content team of about 100 people (of which 40+ are Data Scientists and ML Engineers), we are a team of 8 Data Scientists located in Belgium, Spain & the US that work predominantly on IP data and products (trademarks, patents and case law for both) though we do the occasional sidestep to other domains as well. We interact with Clarivate’s Product, Sales, Marketing and Operations divisions on a regular basis to make sure we deliver optimal internal and external customer value. With multiple Principal Data Scientists in the team, we can offer excellent support to help you grow in your role. Also, while a lot of work we do originates from customer requests, we also do a fair share of explorative and POC work to help our internal customers understand the business value of the latest technologies.

Hours of Work

This is a permanent full-time contract, we work regular CET hours in Europe, in a hybrid model, with flexibility to accommodate a healthy work-life balance.

At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

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