Role Overview
Collect, clean, and analyze data from various sources, develop predictive models, and collaborate with business and technical teams.
What You Will Do
Design dashboards, optimize model performance, and ensure industrialization.
Why It Might Be a Fit
Required skills include proficiency in Python, SQL, and data science libraries, as well as experience in handling and analyzing large datasets.
Requirements
- Proficiency in Python
- SQL
- data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, etc.)
- Good knowledge of machine learning techniques and statistics
- Experience in handling and analyzing large datasets
- Familiarity with data visualization tools (Power BI, Tableau, Matplotlib, etc.)
- Experience with SQL/NoSQL databases
- Familiarity with cloud environments (AWS, Azure, GCP) is a plus
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