SME in Data Science for Liberal Arts (Kannur)

Job Title: SME in Data Science for Liberal Arts

About the Opportunity: We are seeking an experienced and academically strong Freelance Subject Matter Expert (SME) in Data Science for Liberal Arts to support the development of high-quality assessment content for an innovative educational publishing/learning initiative. This role is ideal for professionals who are passionate about making data science accessible, relevant, and engaging for non-technical learners, particularly students from Liberal Arts and interdisciplinary backgrounds. The selected SME will play a critical role in designing pedagogically sound, learner-centric assessments that evaluate conceptual understanding, interpretation skills, analytical thinking, and real-world application of data science principles — without requiring programming or coding exercises.

Key Responsibilities: The SME will be responsible for creating and reviewing a diverse range of assessment content aligned with chapter-wise learning objectives.

Assessment Development: Design and develop high-quality assessment items, including but not limited to: ● Multiple-Choice Questions (MCQs) ● Fill-in-the-Blank (FITB) questions ● Cloze / Drag-and-Drop activities ● Short-answer conceptual questions ● Data interpretation and analytical reasoning questions ● Scenario-based and case-study-driven problems

Key Expectations: The ideal candidate should demonstrate the ability to create assessments that are:
- Conceptually Clear and Accurate: Ensure correctness of content, terminology, and explanations Present concepts in an accessible and learner-friendly manner
- Pedagogically Strong: Maintain appropriate difficulty progression across chapters and question types. Align assessments closely with stated learning outcomes and instructional goals.
- Engaging and Application-Oriented: Develop questions that encourage critical thinking and real-world interpretation. Use contextualized examples relevant to Liberal Arts learners.
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