Senior Data Scientist

Country/Region: ES
- City: Bilbao
- Company: EDP CLIENTES S.A.

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