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Senior Data Scientist
ICT
💰 Salary Not shared
📊 Market 3,000 GBP–5,000 GBP/mo (36,000 GBP–60,000 GBP/yr)
About the Company
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.
Requirements
- ● 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
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