Senior Data Scientist
We are EDP, a global energy company present in around 29 markets with a particular emphasis on renewable energies. With more than 45 years of experience, we have been consolidating a relevant presence on the world energy scene based on the commitment to be all-green by 2030, leading the energy transition. With more than 13,000 employees around the world, we are committed to using our energy and heart to drive a better tomorrow.
MISSION
Digital Acceleration & AI area within the Business Platform at EDP Customer Solutions in DGU drives digital acceleration by leveraging advanced data analytics, artificial intelligence, and machine learning to optimize business processes, enhance customer experiences, and identify/develop innovative energy solutions that support sustainable growth.
As a Senior Data Scientist, you will develop AI and machine learning models to deliver data-driven solutions that help EDP CS stay ahead in the competitive energy market. Using your expertise in GPT, Azure, MLOps, and Databricks, you will collaborate with cross-functional teams to ensure the scalability and impact of these solutions across international markets.
Your work will play a key role in accelerating AI adoption and enabling smarter decision-making, shaping the future of energy solutions at EDP CS
MAIN ACCOUNTABILITIES
As a Senior Data Scientist in the Digital Acceleration & AI area, you will be responsible for identifying, designing, accompanying, developing, and deploying AI-based solutions using various techniques to address business challenges and drive innovation in commercial energy solutions. You will analyze and understand business needs, collaborating with cross-functional teams to align data strategies with business objectives, optimize processes, and enhance customer experiences. Additionally, you will manage the full lifecycle of AI models, ensuring scalability and integration with platforms like Azure and Databricks to support EDP CS's strategic goals.
REQUIRED PROFILE
- ACADEMIC SKILLS:
Educational Background:
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, Artificial Intelligence, or a related field.
- A master’s or PhD in Data Science, Machine Learning, or Software Engineering is highly valued.
- Strong mathematical foundation: Solid understanding of linear algebra, statistics, calculus, and optimization, applied to predictive modeling and advanced data analysis.
- LANGUAGE:
- Spanish. Excellent written and spoken English is needed. Additional languages are a plus
- PROFESSIONAL EXPERIENCE:
- Minimum Experience: 3 - 6 years in roles related to Data Science or Machine Learning Engineering.
- Proven track record in developing and deploying advanced Machine Learning and Deep Learning models in production environments.
- Hands-on experience in designing and implementing solutions using GPT or Natural Language Processing (NLP) technologies.
- Demonstrated expertise in MLOps: building pipelines, implementing continuous integration, and automating processes for model training and deployment.
- Extensive use of Azure Machine Learning, Databricks, or similar cloud-based solutions.
- Active involvement in collaborative projects with cross-functional teams, including engineers and business stakeholders
4. KNOWLEDGE:
Tools and Technologies:
-
- Programming languages: Python, R, and common frameworks such as TensorFlow, Keras, Pytorch, Hugging Face, Shiny.
- Familiarity with OpenAI models such as Whisper, GPT, Codex…, is required for developing AI-based solutions.
- Cloud platforms: Advanced knowledge of Azure (Azure ML, Azure Data Factory, Azure Synapse), valuable AWS, or GCP.
- Data infrastructure: Expertise with Databricks, Spark, and relational/non-relational databases.
- Proven experience with foundational models and generative AI tools like OpenAI GPT, ChatGPT, and their integrations
- MLOps: Familiarity with tools like MLflow, DVC, and orchestrators like Airflow or Kubeflow.
- Data management: Skilled in data cleaning, transformation, and preparation using tools like Pandas, PySpark, or SQL.
- Good security practices in code (using key vaults and protecting sensitive variables such as API keys)
Additional Knowledge (Optional):
- Advanced concepts in data security and privacy (e.g., GDPR).
- API development for integrating models into production systems.
- Data visualization tools like Power BI, Tableau, DOMO or libraries like Matplotlib and Seaborn.
5. OTHERS:
- Location: Madrid/Bilbao/Lisbon
6. COMPETENCIES
- Critical thinking and problem-solving: Ability to tackle complex technical challenges and propose innovative data-driven solutions.
- Teamwork: Excellent communication skills to collaborate effectively with technical and non-technical teams.
- Results-oriented: Strong focus on delivering functional, scalable models with direct business impact.
- Adaptability and continuous learning: Passion for staying updated with the latest trends and technologies in Data Science and Machine Learning.
- Project management: Capable of leading and coordinating end-to-end data science projects.
- Other skills required: Being proactive, good presentation and communication skills
Equal opportunities for all
Our vision is that each person combines their unique characteristics and experiences to fulfill our mission of creating new energy for the planet. We are an inclusive employer, ensuring all candidates are treated fairly throughout the recruitment process. We welcome and value all people, and we are committed to fostering a sense of belonging for each person who is part of the EDP group.
Need more reasons to apply?
As a top employer we:
Empower our employees through a positive and innovative work environment that promotes collaboration and agile decision-making;
Respect and value each person, providing a flexible, healthy, and inclusive workplace with a range of attractive benefits;
Provide a meaningful work experience and prepare our people for future challenges through different opportunities for development and internal mobility;
Our efforts have resulted in several distinctions over time, highlighting the EDP group's strong positioning and its dedication and commitment to attracting and retaining the best talent:
- Top employer certification by Top Employers Institute
- Part of the Bloomberg Gender-Equality Index
- Global certification as a family-responsible company by Fundación Másfamília
- Top 100 Workplaces by Houston Chronicle
Discover our tips to enhance your performance during the recruitment process and apply until JANUARY 22, 2025, if you think you are the right fit for this opportunity.
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