Teknowell EduTech Pvt. Ltd. is a leading IT Training and Placement Institute dedicated to providing industry-oriented training and placement assistance to students. We are looking for an enthusiastic and knowledgeable Data Science Trainer who can mentor students and prepare them for successful careers in Data Science and Artificial Intelligence.
Roles & Responsibilities
- Deliver classroom and online training sessions on Data Science concepts.
- Design and update training materials, assignments, and practical exercises.
- Conduct hands-on sessions using real-world datasets and case studies.
- Guide students in developing industry-level Data Science projects.
- Prepare students for technical interviews and placement drives.
- Evaluate student performance through assessments, quizzes, and assignments.
- Resolve students' technical queries and provide mentorship.
- Stay updated with the latest technologies and industry trends.
- Coordinate with the placement team to prepare students for job opportunities.
Required Technical SkillsProgramming
- Python
- Object-Oriented Programming (OOP)
Python Libraries
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Plotly
Data Analysis
- Data Cleaning
- Data Preprocessing
- Exploratory Data Analysis (EDA)
- Feature Engineering
Statistics & Mathematics
- Descriptive Statistics
- Probability
- Hypothesis Testing
- Correlation
- Linear Algebra Basics
- Excellent communication and presentation skills.
- Strong problem-solving and analytical abilities.
- Passion for teaching and mentoring students.
- Experience in handling classroom and online batches.
- Ability to explain complex concepts in a simple and practical manner.
Key Responsibilities for Placement Readiness
- Conduct mock interviews.
- Guide students in resume building.
- Mentor students on capstone projects.
- Conduct coding assessments.
- Prepare students for aptitude and technical interviews.
What We Offer
- Friendly and collaborative work environment.
- Opportunity to mentor aspiring Data Scientists.
- Exposure to real-world industry projects.
- Career growth opportunities.
- Performance-based incentives.
Interested candidates can apply with their updated resume.