Data Science Trainer
3 days ago
**Job Title: Data Science Trainer**
**Experience: 3 to 6 Years**
**Location: Chennai**
**Job Type: Part-Time**
**Roles & Responsibilities**:
- Deliver interactive and engaging training sessions on Data Science topics, both online and offline.
- Teach key concepts including Python programming, statistics, machine learning, data analysis, data visualization, and deep learning.
- Design and update training materials, hands-on exercises, and real-world projects.
- Conduct assessments, provide feedback, and support learners through their learning journey.
- Stay updated with industry trends and integrate new technologies or tools into the curriculum.
- Mentor learners on their capstone projects and career guidance.
- Collaborate with the content and academic team to continuously improve training quality.
**Required Skills & Qualifications**:
- Bachelor's/Master’s degree in Computer Science, Data Science, Statistics, or a related field.
- 3 to 6 years of industry and/or teaching experience in Data Science or related domains.
- Proficient in Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, and Jupyter Notebooks.
- Hands-on experience with machine learning algorithms and frameworks like TensorFlow/Keras or PyTorch.
- Strong understanding of statistics, probability, and data modeling techniques.
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
- Excellent communication, presentation, and interpersonal skills.
- Prior experience in teaching/training or mentoring is a strong advantage.
**Good to Have**:
- Experience with Big Data tools like Hadoop/Spark.
- Knowledge of cloud platforms (AWS/GCP/Azure) for data science workflows.
- Exposure to real-world datasets and industry use cases.
**Kindly share your CV with the below contact Number**
**6374808456**
**Job Types**: Part-time, Freelance
Pay: ₹11,104.51 - ₹20,587.38 per month
**Benefits**:
- Flexible schedule
Schedule:
- Evening shift
- Monday to Friday
- Morning shift
- Weekend availability
Work Location: In person
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