BrazilData Science Analyst
Firm
Location
Barcelona
Education
Postgraduate degree
Benefits
Competive
Functional areas
What we offer
- Interact with senior stakeholders on regular basis, to drive their business towards impactful change.
- Become the go-to person for end-to-end data handling, management and analytics processes.
- Work with Data Engineers to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization.
- Become part of a fast-growing international and diverse team.
What you will do
- Assist in analyzing datasets to identify trends, patterns, and insights, with a particular focus on energy consumption, production, and management.
- Develop, implement, and maintain basic predictive models and machine learning algorithms under the guidance of senior team members.
- Collaborate with cross-functional teams to understand business requirements and contribute to data-driven solutions.
- Create data visualizations to communicate findings and recommendations to both technical and non-technical stakeholders.
- Support in evaluating and improving model performance through validation techniques and hyperparameter tuning.
- Stay updated with the latest trends and advancements in data science and machine learning, especially as they pertain to the energy sector.
- Support solving problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data analysis and analytical models, under supervision of consultants and Managers.
- Start communicating analyses via compelling presentations.
- Prepare and participate in both workshops and presentations.
What you’ll bring
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. A Master’s degree is a plus.
- Some experience (e.g., internships, projects, or 1-2 years of work) in a Data Scientist role or related position.
- Basic programming skills in Python (R or Scala is a plus).
- Knowledge of predictive modeling techniques, time-series analysis, regression analysis, clustering, classification, and dimensionality reduction.
- Familiarity with machine learning tools and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Knowledge in SQL and database management systems.
- Ability to manipulate and analyze datasets using tools such as Pandas, NumPy, and other data analysis libraries.
- Good communication skills and the ability to work collaboratively in a consultancy environment.
Preferred skills:
- Familiarity with cloud services, particularly Azure.
- Basic knowledge of GitHub and version control.
- Exposure to deploying models in production environments.
- Interest in advanced machine learning techniques such as deep learning, NLP, and reinforcement learning.
- Awareness of energy sector challenges and opportunities.