Data Science Associate

hace 4 meses

Barcelona, España Metyis A tiempo completo

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.

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