Key Responsibilities:

Teaching &amp; Training

<ul>
<li>Deliver lectures, workshops, and hands-on lab sessions in topics such as:</li>
</ul>

<ul>
<li>Python for Data Science</li>
</ul>

<ul>
<li>Statistics &amp; Probability</li>
</ul>

<ul>
<li>Machine Learning &amp; Deep Learning</li>
</ul>

<ul>
<li>Data Visualization (e.g., Power BI, Tableau, Matplotlib)</li>
</ul>

<ul>
<li>Big Data Technologies (e.g., Hadoop, Spark)</li>
</ul>

<ul>
<li>Databases and SQL</li>
</ul>

<ul>
<li>Natural Language Processing (NLP)</li>
</ul>

<ul>
<li>AI/ML Frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)</li>
</ul>

<ul>
<li>Create and maintain course materials including syllabus, lecture notes, assignments, and exams.</li>
</ul>

<ul>
<li>Adapt teaching methods to suit diverse student learning styles and levels.</li>
</ul>

<ul>
<li>Guide and mentor students on capstone projects, internships, and research work.</li>
</ul>

Curriculum &amp; Content Development

<ul>
<li>Assist in designing and updating data science curricula aligned with current industry trends and academic standards.</li>
</ul>

<ul>
<li>Collaborate with academic and industry experts to ensure relevance and rigor in course content.</li>
</ul>

Student Engagement &amp; Mentorship

<ul>
<li>Provide academic and career guidance to students.</li>
</ul>

<ul>
<li>Encourage and support student participation in hackathons, competitions, and research publications.</li>
</ul>

<ul>
<li>Evaluate student performance and provide constructive feedback.</li>
</ul>

Administrative &amp; Departmental Activities

<ul>
<li>Participate in faculty meetings, departmental planning, and accreditation processes.</li>
</ul>

<ul>
<li>Assist in student admissions, academic audits, and outreach activities if required.</li>
</ul>

Qualifications:

Educational Requirements:

<ul>
<li>Master’s or Ph.D. in Data Science, Computer Science, Statistics, Artificial Intelligence, or related field.</li>
</ul>

<ul>
<li>Industry-recognized certifications (e.g., Microsoft Data Science, Google ML, AWS ML, IBM Data Science) are a plus.</li>
</ul>

Experience:

<ul>
<li>Minimum [2-5] years of teaching/training experience in data science or relevant domains.</li>
</ul>

<ul>
<li>Industry experience in a data-driven role (e.g., Data Scientist, Data Analyst, ML Engineer) is highly desirable.</li>
</ul>

Required Skills:

<ul>
<li>Strong foundation in statistics, machine learning, and data analysis.</li>
</ul>

<ul>
<li>Proficiency in Python, R, SQL, and relevant data science libraries and tools.</li>
</ul>

<ul>
<li>Familiarity with cloud platforms (e.g., AWS, GCP, Azure) is an added advantage.</li>
</ul>

<ul>
<li>Excellent communication, presentation, and interpersonal skills.</li>
</ul>

<ul>
<li>Passion for teaching and mentoring students.</li>
</ul>

Preferred Attributes:

<ul>
<li>Demonstrated record of research/publications in data science or related areas.</li>
</ul>

<ul>
<li>Experience in curriculum development or instructional design.</li>
</ul>

<ul>
<li>Ability to foster a collaborative learning environment.</li>
</ul>

Data Science in New Delhi (UID-12278)

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