Data Science Coach

2 days ago

Nashik District Maharashtra, India Greamio Technologies Pvt. Ltd Full time

**Call**:7972240453 (Mon to Sat / 11 am - 6 pm)**

**Company Name: Greamio Technologies Private Limited**

**Job Title: Data Science Trainer**

**Location: Nashik**

**Salary: ₹30,000 - ₹33,000**

**Employment Type: Full-Time**

**Key Responsibilities**:

- Deliver engaging and interactive training sessions on various data science topics, including statistics, machine learning, data visualization, and programming (**Python**).
- Design and develop course materials, assignments, quizzes, and hands-on projects.
- Provide timely feedback and support to students on their progress and performance.
- Stay up-to-date with the latest trends and advancements in data science and incorporate them into the curriculum.
- Conduct assessments and evaluations to measure the effectiveness of the training program.
- Adapt teaching methods and materials to meet the diverse needs of learners in both online and classroom settings.

**Requirements**:

- Bachelor's or Master's degree in Computer Science, Statistics, or a related field.
- Proven experience as a Data Science Trainer or similar role.
- Proficiency in programming languages such as Python, C, and SQL.
- Strong knowledge of data science tools and platforms (e.g., Jupyter, TensorFlow, Pandas, NumPy, Scikit-learn).
- Excellent communication and presentation skills.
- Ability to explain complex concepts in a simple and clear manner.
- Experience in mentoring or teaching is preferred.
- Certifications in data science or related fields are a plus.

**Preferred Skills**:

- Hands-on experience with data analytics, machine learning models, and big data tools.
- Familiarity with cloud platforms (AWS, Google Cloud, Azure) for data science projects.
- Ability to design project-based learning experiences for students.

**How to Apply**:
**Job Types**: Full-time, Permanent, Fresher

Pay: ₹30,000.00 - ₹33,000.00 per month

Schedule:

- Day shift
- Fixed shift
- Morning shift

Work Location: In person

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