What We Offer
At Metyis, as a Data Science Associate, you will have the opportunity to interact with senior stakeholders regularly, driving their business towards impactful change. You will become the go-to person for end-to-end data handling, management, and analytics processes. Collaborate with Data Engineers to manage data throughout its lifecycle, including acquisition, exploration, cleaning, integration, analysis, interpretation, and visualization. Join a fast-growing, international, and diverse team dedicated to making a real impact.
What You Will Do
- Own and manage several of our Data Science solutions throughout their full lifecycle, from brainstorming and design to implementation, productization, and maintenance.
- Analyze large datasets to identify trends, patterns, and insights, focusing 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, particularly in 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.
Benefits Extracted with AI
- Interact with senior stakeholders
- End-to-end data handling and management
- Part of a fast-growing international team
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