Data Science Associate

Postgraduate degree
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
  • You own together with your team several of our Data Science solutions throughout the full life cycle (brainstorming, design, implementation, productization and maintenance)
  • Analyze large datasets to identify trends, patterns, and insights, with a particular focus on energy consumption, production, and management.
  • Develop, implement, and maintain predictive models and machine learning algorithms to optimize energy use and efficiency.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Create effective data visualizations to communicate findings and recommendations to both technical and non-technical stakeholders.
  • Evaluate and improve 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.

What you’ll bring
  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. A PhD is a plus.
  • Minimum of 3 years of experience in a similar Data Scientist role.
  • Strong programming skills in Python (R and Scala is a plus).
  • Knowledge of predictive modeling techniques, time-series analysis, regression analysis, clustering, classification, and dimensionality reduction.
  • Experience with machine learning tools and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Proficiency in SQL and database management systems (e.g. Databricks, Snowflake).
  • Ability to manipulate and analyze large datasets using tools such as Pandas, NumPy, and other data analysis libraries.
  • Experience creating visualizations using tools like Matplotlib, Tableau, or Power BI.
  • Excellent communication skills and the ability to work collaboratively in a consultancy environment.

Preferred skills:

  • Familiarity with cloud services, particularly Azure and Azure Functions.
  • Knowledge and experience with dbt and GitHub.
  • Experience deploying models in production environments.
  • Knowledge of advanced machine learning techniques such as deep learning, NLP, and reinforcement learning.
  • Familiarity with energy sector challenges and opportunities.

Job information

Firm: Metyis

Location: Barcelona

Education: Postgraduate degree