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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