Job Description
- Collect, clean, and analyze structured and unstructured data from multiple sources.
- Perform data wrangling, feature engineering, and exploratory data analysis (EDA).
- Develop, evaluate, and optimize machine learning and statistical models.
- Design and maintain data pipelines and reusable analytical code.
- Collaborate with cross-functional teams to understand business problems and translate them into analytical solutions.
Qualifications:
- Minimum 5+ years of practical data science and machine learning experience required.
- Advanced Python proficiency is required for this role.
- Experience with ESG (Environmental, Social, Governance) datasets is required.
- Bachelor's degree is the minimum education requirement for this position.
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