Sme In Data Science For Liberal Arts Hubballi

Job Title: SME in Data Science for Liberal Arts

About the Prospect:

We are seeking an experienced and academically robust 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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