Role Overview
The Data Scientist will develop advanced models and algorithms to provide strategic insights and guide decision-making within the company. He works in close collaboration with business teams to understand their needs and implement data pipelines.
What You Will Do
Collect, explore and prepare structured and unstructured data; Design, develop and deploy analytical models, including machine learning and generative artificial intelligence (GenAI / LLM); Analyze, interpret and present the results of the models to produce actionable recommendations for the business teams.
Why It Might Be a Fit
A minimum of 3 years of experience in a similar position, with advanced mastery of Python, statistics, probability, and applied mathematics, as well as experience in generative artificial intelligence (GenAI) and language model exploitation (LLM).
Requirements
- Advanced mastery of Python
- Solid bases in statistics, probability and applied mathematics
- Mastery of Machine Learning and Deep Learning frameworks and libraries
- Experience in generative artificial intelligence (GenAI) and language model exploitation (LLM)
- Mastery of PySpark and distributed environments for large data processing
- Excellent mastery of SQL and relational and analytical databases
- Advanced skills in data preparation, cleaning and transformation
- Ability to design, evaluate and optimize models
- Notions of industrialization and model deployment
- Ability to translate complex business problems into analytical solutions
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