Data Science Trainer

9 hours ago

Noida, India Career Dose Pvt. Limited Full time

**Job Description: Data Science Trainer**

**Job: Data Science Trainer**Need immediate Joiners**

**Key Responsibilities:

- **
- Deliver comprehensive and engaging data science training sessions to both beginner and intermediate-level participants, covering topics such as data analysis, machine learning, statistical modeling, data visualization, and more.
- Facilitate hands-on, practical exercises and projects to reinforce the theoretical concepts taught during the training, allowing participants to gain practical experience.
- Collaborate with the training team to design and develop well-structured, up-to-date training materials that align with industry best practices and cater to the needs of diverse learners.
- Prepare training materials, including presentations, code examples, and reference guides, to aid participants in their learning journey.
- Occasionally assist in organizing and conducting data science workshops and webinars to reach a broader audience.

**Requirements**:

- Bachelor's or Master's degree in Computer Science, Data Science, Statistics,

Mathematics, or a related field.
- 1-2 years of hands-on experience in data science, machine learning, or a related field. Previous experience in teaching, tutoring, or conducting workshops is a plus.
- Proficiency in programming languages commonly used in data science such as

Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., sci-kit-learn, TensorFlow, or PyTorch).
- Working knowledge of data visualization tools (e.g., Matplotlib, Seaborn) and statistical analysis.
- Excellent verbal and written communication skills with the ability to explain complex technical concepts clearly and understandably.

**Job Type**: Part-time

Schedule:

- Weekend availability

Ability to commute/relocate:

- Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (required)

**Experience**:

- total work: 2 years (preferred)

**Speak with the employer**
+91 7678353955

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