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Data Science Trainer / Faculty

India

Job Category: Faculty/Trainer
Job Type: Full Time
Required Experience: 2-5 Years
Job Location: Gurugram
Job Title: Data Science Trainer / Faculty
Department: Computer Science / Data Science / Information Technology
Location: K. R. Mangalam University, Gurugram Sohna Rd Hwy, Haryana 122103
Job Type: Full-time

Job Summary:
We are seeking a passionate and knowledgeable Data Science Trainer/Faculty to join our academic team. The ideal candidate will be responsible for delivering high-quality instruction, curriculum development, and mentorship in data science and related disciplines. You will play a key role in preparing students for careers in data science, analytics, artificial intelligence, and related fields.

Key Responsibilities:
Teaching & Training
  • Deliver lectures, workshops, and hands-on lab sessions in topics such as:
    • Python for Data Science
    • Statistics & Probability
    • Machine Learning & Deep Learning
    • Data Visualization (e.g., Power BI, Tableau, Matplotlib)
    • Big Data Technologies (e.g., Hadoop, Spark)
    • Databases and SQL
    • Natural Language Processing (NLP)
    • AI/ML Frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Create and maintain course materials including syllabus, lecture notes, assignments, and exams.
  • Adapt teaching methods to suit diverse student learning styles and levels.
  • Guide and mentor students on capstone projects, internships, and research work.
Curriculum & Content Development
  • Assist in designing and updating data science curricula aligned with current industry trends and academic standards.
  • Collaborate with academic and industry experts to ensure relevance and rigor in course content.
Student Engagement & Mentorship
  • Provide academic and career guidance to students.
  • Encourage and support student participation in hackathons, competitions, and research publications.
  • Evaluate student performance and provide constructive feedback.
Administrative & Departmental Activities
  • Participate in faculty meetings, departmental planning, and accreditation processes.
  • Assist in student admissions, academic audits, and outreach activities if required.

Qualifications:
Educational Requirements:
  • Master’s or Ph.D. in Data Science, Computer Science, Statistics, Artificial Intelligence, or related field.
  • Industry-recognized certifications (e.g., Microsoft Data Science, Google ML, AWS ML, IBM Data Science) are a plus.
Experience:
  • Minimum [2-5] years of teaching/training experience in data science or relevant domains.
  • Industry experience in a data-driven role (e.g., Data Scientist, Data Analyst, ML Engineer) is highly desirable.

Required Skills:
  • Strong foundation in statistics, machine learning, and data analysis.
  • Proficiency in Python, R, SQL, and relevant data science libraries and tools.
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) is an added advantage.
  • Excellent communication, presentation, and interpersonal skills.
  • Passion for teaching and mentoring students.

Preferred Attributes:
  • Demonstrated record of research/publications in data science or related areas.
  • Experience in curriculum development or instructional design.
  • Ability to foster a collaborative learning environment.

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