Assistant Professor/Master Skill Instructor/ Skill Instructor

7 days ago

gangtok, India Randstad India Full time
Assistant Professor/Master Skill Instructor - Data Analytics IT
Location: Singtam, Sikkim
No. of Openings: 1
Overview of the Role:
We are seeking a dedicated and knowledgeable Assistant Professor/Master Skill Instructor in Data Analytics IT to join our esteemed faculty.
In this role, you will design and implement a cutting-edge curriculum that prepares students to analyze and interpret complex datasets effectively.
Your expertise will guide students in mastering statistical methods, data visualization techniques, and machine learning algorithms to derive actionable insights. Staying current with industry trends is essential to ensure our curriculum remains relevant and impactful. Your commitment to fostering an inclusive learning environment will promote collaboration and diversity among our students.
Key Responsibilities:
Curriculum Development: Design and deliver a comprehensive curriculum focused on data analytics IT, highlighting the critical role of data insights in decision-making processes.
Student Mentorship: Guide and mentor students in mastering essential data analytics tools, techniques, and methodologies for interpreting complex datasets.
Applied Learning: Facilitate hands-on projects that apply statistical methods, data visualization, and machine learning algorithms to real-world data sets.
Industry Relevance: Stay abreast of industry trends and advancements, integrating these into the curriculum to ensure it remain current and relevant.
Collaborative Enhancement: Work closely with peers to continuously enhance the curriculum, ensuring it reflects the multifaceted nature of data analytics.
Feedback and Development: Provide constructive feedback to students, nurturing their analytical thinking and problem-solving skills.
Departmental Engagement: Actively participate in departmental activities, contributing to the advancement of data analytics education.
Research and Publication: Conduct research in data analytics and publish findings to enrich both academic and industry practices.
Inclusive Environment: Foster an inclusive and collaborative learning environment that promotes diversity among students pursuing data analytics careers.
Professional Growth Facilitation: Connect students with internship opportunities and industry partnerships aligned with data analytics roles to support their professional growth.
Additional Requirements:
Educational Background: Master's or Bachelors degree with relevant industry, training, or teaching experience.
Experience: 1-2 years of academic experience preferred; 3-4 years of mandatory industry experience in data analytics or related fields.
Join us in shaping the future of data analytics education and empowering the next generation of data professionals. Apply now to

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