
Data Classification Expert
7 days ago
Job Title: Information Classification Specialist
">- Key Responsibilities:
- Collaborate with data teams to support classification and taxonomy methods, fostering a deep understanding of business requirements.
- Ensure accuracy and precision in analyzing and labeling various data samples, optimizing recall rates.
- Contribute to R&D team efforts to enhance algorithm recognition and machine learning capabilities by identifying areas for improvement and proposing solutions.
- Develop in-depth knowledge of the business, investigate data samples from diverse business lines, and refine data classification standards and sample databases.
- Streamline data annotation processes, optimize label sampling and review mechanisms, and enhance efficiency in manual standards.
- Participate in functional optimization design for annotation platforms.
Qualifications and Skills:
- Bachelor's degree in Computer Science or related field.
- At least one year of experience in research and development, testing, data analysis, or DBA roles, with familiarity with various data samples.
- Excellent communication and analytical skills, with the ability to quickly comprehend business needs and make informed judgments about sample types based on business attributes.
- Ability to perform repetitive tasks efficiently with minimal errors.
- Strong interest and knowledge in artificial intelligence, machine learning, and data visualization.
Required Skills:
- Machine Learning
- Sampling
- Microsoft Excel
- Taxonomy
- Labels
- Artificial Intelligence
- Data Classification
- Research and Development
- SQL
- Attention to Detail
- Visualization
Why This Role?
This position requires a highly skilled and detail-oriented individual to contribute to our company's success. As an Information Classification Specialist, you will play a critical role in shaping our data classification standards and ensuring the accuracy and precision of our data samples. If you are passionate about artificial intelligence, machine learning, and data visualization, this may be the ideal opportunity for you to grow your career.
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