**Title**: Data Scientist for Development of Comprehensive and MECE CV Scoring Matrix
**Description**:
We are seeking an experienced Data Scientist to develop a comprehensive, MECE (Mutually Exclusive, Collectively Exhaustive) scoring matrix for evaluating CVs against a variety of job descriptions. This matrix will be the foundation of our app's methodology, ensuring consistent, credible, and thorough evaluations of candidate qualifications.
**Responsibilities**:
- Develop a MECE scoring matrix that is applicable to a broad range of job descriptions.
- Group relevant variables together in the matrix to ensure a structured and logical assessment.
- Utilize data-driven approaches to justify the weighting and scoring of each variable. For example, determining how a degree in Accounting & Finance would score 7/10 for a Financial Analyst position based on the degree's relevance to the job requirements.
- Collaborate with the development team to integrate this matrix into our app for automated and accurate CV evaluations.
- Regularly update the matrix based on evolving job market trends and feedback.
**Requirements**:
- Expertise in Data Science and Statistical Analysis, with a focus on creating structured and comprehensive evaluation tools.
- Experience in HR analytics, particularly in CV screening or related areas.
- Skilled in algorithm development for data interpretation and scoring systems, with an emphasis on MECE principles.
- Strong analytical and problem-solving skills, with meticulous attention to detail.
- Collaborative attitude, capable of working with cross-functional teams.
**How to Apply**:
Please submit your CV along with a cover letter detailing your experience in developing MECE matrices or similar scoring systems. Include any relevant examples or case studies that demonstrate your ability to create data-driven, structured evaluation tools, such as the provided example of scoring a degree in relation to job requirements.
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