Data Sceince Faculty

4 days ago

Muvattupuzha HO Kochi Kerala, India DreamKatcher Full time

**Job Title**: Data Science Faculty
**Location**: Mentor Engineering College
**Department**: Computer Science / Data Science

**Job Type**: Full-Time
**Experience Required**: Minimum 1 year (Industry or Teaching in Data Science)
**Qualification**: B.Sc. in Computer Science or higher

**About Mentor Engineering College**:
Mentor Engineering College is dedicated to delivering high-quality technical education and shaping the future of young minds. Our mission is to foster a culture of innovation, critical thinking, and continuous learning among students. We are now expanding our academic strength in the domain of **Data Science**, a rapidly growing and in-demand field.

**Job Summary**:
**Key Responsibilities**:

- Prepare course materials, lecture notes, assignments, and assessments.
- Conduct practical sessions, lab activities, and hands-on projects.
- Guide and mentor students in academic projects and research work.
- Stay updated with industry trends and incorporate relevant advancements in teaching.
- Collaborate with colleagues for academic and extracurricular activities.
- Participate in seminars, workshops, and faculty development programs as required.

**Required Qualifications & Skills**:

- **Education**: B.Sc. in Computer Science or above (M.Sc./M.Tech/PhD preferred).
- **Experience**: Minimum 1 year of teaching or industry experience in Data Science.
- Strong knowledge of Python, Machine Learning, Data Analysis, and related tools (e.g., Pandas, NumPy, Scikit-learn, Matplotlib).
- Excellent communication and presentation skills.
- Ability to engage and inspire students effectively.

**Preferred Skills (Not Mandatory)**:

- Exposure to cloud platforms (AWS, Google Cloud) or data engineering tools.
- Certifications in Data Science, Machine Learning, or related areas.
- Experience with project-based or outcome-based education models.

**Remuneration**:
**How to Apply**:
Pay: ₹15,000.71 - ₹25,000.43 per month

Schedule:

- Day shift

**Language**:

- English (preferred)

Work Location: In person

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