Location
España | Spain
Job description
Job Description
Role: ESG Data Scientist
Department: ESG
Location: Valencia
Job Specification
We are seeking a highly skilled and experienced Data Scientist to join our dynamic ESG team. As a Data Scientist, you will be responsible for extracting valuable insights from complex data sets and providing actionable recommendations to drive data-informed decision-making. You will work closely with cross-functional teams to identify business challenges, design analytical models, and develop innovative solutions to enhance our products and services. If you are passionate about data, have a strong analytical mindset, and enjoy solving complex problems, we want to hear from you.
Responsibilities
- Analyse large, structured, and unstructured datasets to uncover trends, patterns, and insights that drive business strategies and optimizations.
- Develop and implement statistical models, algorithms, and machine learning techniques to address business objectives and solve complex problems.
- Collaborate with stakeholders to define and frame business problems and translate them into data-driven solutions.
- Build predictive models and develop algorithms to optimi s e processes, increase efficiency, and improve customer experience.
- Design and conduct experiments to test hypotheses, evaluate models, and validate assumptions.
- Present findings and insights to both technical and non-technical stakeholders, effectively communicating complex concepts in a clear and concise manner.
- Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence to identify new opportunities for innovation and improvement.
- Collaborate with cross-functional teams to integrate data science solutions into existing systems and processes.
- Mentor and provide guidance to junior data scientists and analysts, fostering a culture of continuous learning and development.
Must-Have Skills
- Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or a related field. A master's degree is a plus.
- Strong proficiency in programming languages such as Python, R, or Java for data manipulation, statistical analysis, and machine learning.
- In-depth knowledge of statistical analysis, experimental design, and hypothesis testing.
- Expertise in machine learning techniques, such as supervised and unsupervised learning, regression, classification, clustering, and recommendation systems.
- Experience with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights and present complex data in a visually compelling manner.
- Proficiency in SQL and experience working with relational databases and big data platforms (e.g., Hadoop, Spark) for data extraction and manipulation.
- Solid understanding of data pre-processing techniques, feature engineering, and dimensionality reduction.
- Strong problem-solving skills with the ability to think critically, analyse complex data, and propose innovative solutions.
- Excellent communication skills to effectively convey technical concepts to both technical and non-technical stakeholders.
- Ability to work independently and collaboratively in a fast-paced, agile environment.
- Strong attention to detail and a commitment to delivering high-quality results.
- Familiarity with cloud computing platforms, specifically AWS and Azure, and their data services.
Desirable Skills
- Experience with natural language processing (NLP) and text mining techniques.
- Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch ) and neural network architectures.
- Proficiency in distributed computing and parallel processing frameworks (e.g., Apache Spark).
- Experience with data streaming platforms (e.g., Apache Kafka) and real-time analytics.
- Understanding of advanced optimization techniques and operations research.
- Knowledge of causal inference methods and experimental design.
- Experience with data governance, data privacy, and compliance frameworks (e.g., GDPR, CCPA).
- Familiarity with AWS services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, and Amazon EMR for data storage, data integration, data warehousing, and big data processing.
- Experience with Azure services such as Azure Storage, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Machine Learning for data storage, data integration, data warehousing, and machine learning.
- Knowledge of cloud-based data processing, data lakes, and serverless architectures.
- Understanding of cloud security and data protection best practices
What you will get in return:
A genuinely unique opportunity to be part of an expanding large global business . Joining Apex Group will provide you with a platform for professional and personal success and an environment where you can truly make an impact.
Our people are our greatest asset and we believe learning is central to developing talent, nurturing strong leaders, fostering a supportive company culture and ultimately drives our success.
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