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# Data Scientist

- **Company:** Esg
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Data Systems, Apache Hadoop, Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Unstructured Data, Apache Spark, Scikit Learn, Information Technology, Data Analytics, Data Management
- **Published:** August 16, 2026
- **Apply:** https://es.trabajo.org/oferta-4021-7a6510b4e12f62e8fced277f35faca71

## About the Role

science roadmap and priorities based on business needs and opportunities. - Predictive Modeling & Machine Learning: Build, deploy, and maintain machine learning models to forecast trends, optimize processes, and drive business outcomes. - Data Analysis & Visualization: Analyze large, complex datasets to extract actionable insights, and present findings to both technical and non-technical stakeholders. - Data science pipeline: Advise, build and continuously improve the data science pipeline which best responds to team.blue analytics needs. - Cross-functional Collaboration: Work closely with business leaders, product teams, and engineers to ensure that data solutions meet business requirements. - Continuous Improvement: Stay up to date with the latest trends in data science, AI, and machine learning to continuously improve the team's capabilities. Requirements: - Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. - 5+ years of experience in data
science, with a proven track record of solving complex business problems using data. - Strong understanding of business operations and the ability to align data science projects with business objectives. - Communication Skills: Ability to translate technical insights into business recommendations and communicate with stakeholders at all levels. - Problem-solving: Strong analytical thinking with the ability to handle complex and unstructured data. - Technical Skills: - Proficiency in programming languages such as Python, R, or Scala. - Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn). - Experience with SQL and working with large data sets. - Familiarity with cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Hadoop, Spark). "Come as you are" Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance. ESG "At



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