Data Science Associate
hace 2 semanas
About the Role
We are seeking a highly skilled Data Science Associate to join our team at Metyis. As a key member of our data science team, you will play a crucial role in driving business impact through data-driven insights.
Key Responsibilities
- Collaborate with senior stakeholders to identify business opportunities and develop data-driven solutions.
- Work with cross-functional teams to design, implement, and maintain data science solutions throughout the full life cycle.
- Analyze large datasets to identify trends, patterns, and insights, with a focus on energy consumption, production, and management.
- Develop and implement predictive models and machine learning algorithms to optimize energy use and efficiency.
- Communicate findings and recommendations to both technical and non-technical stakeholders through effective data visualizations.
- Evaluate and improve model performance through validation techniques and hyperparameter tuning.
Requirements
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Minimum of 3 years of experience in a similar Data Scientist role.
- Strong programming skills in Python, with knowledge of R and Scala a plus.
- Experience with machine learning tools and libraries, such as scikit-learn, TensorFlow, and PyTorch.
- Proficiency in SQL and database management systems, including Databricks and Snowflake.
- Ability to manipulate and analyze large datasets using tools like Pandas and NumPy.
- Experience creating visualizations using tools like Matplotlib, Tableau, and Power BI.
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.
About Metyis
Metyis is a fast-growing international consultancy with a diverse team of experts. We are passionate about using data science to drive business impact and make a positive difference in the world.
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