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Knowledge Scientist

AIRMID WHOLENESS PRIVATE LIMITED

Kolkata, India₹20,000–₹50,000/moAED 880-2.2K/moToday
IndiaKnowledge Managementknowledge Acquisitionknowledge-Based Systemsknowledge Basescientistsknowledge Information ProcessingFull Time

Skills Required

ErpCommunicationLeadership

Job Description

Job Description Jobe Duties And Responsibilities.   A knowledge scientist researches, analyzes, and structures information to drive organizational value, often bridging the gap between data science and strategic decision making. Their key duties include conducting in depth research, managing information systems, developing knowledge models, ensuring data compliance, and communicating actionable insights to stakeholders. Key Duties and Responsibilities. Research and Analysis Planning, designing, and conducting studies to test hypotheses, using quantitative and qualitative data to identify trends and solve complex problems. Information Management Organizing, classifying, and cataloging information within databases, ensuring data integrity, traceability, and confidentiality. Knowledge Structuring Translating complex data into actionable insights, creating models, and developing frameworks to improve research efficiency and business decisions. Literature Review and Synthesis Regularly reading specialist literature to stay updated on advancements and gaps in the field, ensuring research is relevant and builds on existing expertise. Collaboration and Communication Presenting findings through reports, graphs, and presentations to internal teams and stakeholders, as well as publishing research in journals. Compliance and Strategy Monitoring risk and ensuring all data handling follows regulatory requirements, quality standards, and ethical guidelines. Project Leadership Managing project scopes, budgets, and schedules, while mentoring junior staff or laboratory technicians. Key Skills Required. Critical Thinking Analyzing and interpreting data to form logical conclusions. Technical Proficiency Using specialized software for data modeling and analysis. Communication Presenting complex scientific ideas clearly to diverse audiences. Research Expertise Applying scientific methodologies to investigative.