Job Description:
- Lead the development and implementation of data extraction solutions from various document types
- Design, develop, and maintain algorithms and models for information extraction
- Ensure the integrity and accuracy of extracted data
- Prepare technical design documents and specifications
- Conduct technical reviews of data extraction solutions created by others to ensure compliance with applicable standards, codes, and regulations, as well as end-user requirements
- Support the data extraction process from concept through delivery of the completed solution
- Collaborate and communicate effectively with other stakeholders, both internal and external, and the development team (e.g., engineering department, IT department)
Qualifications and Skills:
- A minimum of 3 years of experience in data science is required; 5+ years is preferred
- At least three years of experience with information extraction from documents
- Experience with machine learning and generative AI models and APIs
- Proficiency in Python and relevant data science libraries
- Experience with cloud platforms, preferably Google Cloud Platform (GCP)
- Experience working with lifecycle assessment, greenhouse gas emissions data and/or supply chain platforms is a plus
- Ability to prioritize, perform, and communicate effectively in a fast-paced environment

0 applies
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