Data Science Trainer

5 months ago

Hyderabad Telangana, India Teks Academy Full time

A Data Science Trainer is responsible for educating individuals or teams on data science concepts, techniques, and tools. Here’s a typical job description for this role:
Job Title: Data Science Trainer

Experience: 2 to 4yrs

Anitha HR: 6304153714

**Key Responsibilities**:

- **Curriculum Development**:

- Design and create comprehensive training materials, including presentations, manuals, and exercises.
- Develop course content covering various aspects of data science such as statistical analysis, machine learning, data visualization, and programming languages (e.g., Python, R).
- **Training Delivery**:

- Conduct training sessions, workshops, and seminars for individuals or groups.
- Deliver engaging and interactive lectures, demonstrations, and hands-on activities.
- Adapt training methods and materials based on the audience's skill level and learning style.
- **Assessment and Evaluation**:

- Evaluate participants’ progress through assessments, quizzes, and practical exercises.
- Provide constructive feedback and additional support to help participants meet their learning goals.
- **Technical Support**:

- Assist participants with practical challenges and technical issues during training sessions.
- Stay updated with the latest tools, technologies, and best practices in data science.
- **Continuous Improvement**:

- Gather feedback from participants to improve training materials and delivery methods.
- Update and refine course content to reflect new developments and trends in data science.
- **Collaboration and Reporting**:

- Report on training outcomes, participant feedback, and overall effectiveness of training programs.

**Qualifications**:

- **Education**: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Advanced degrees are a plus.
- **Experience**: Proven experience in data science, including practical experience with data analysis, machine learning, and data visualization. Prior experience in teaching or training is highly desirable.
- **Technical Skills**: Proficiency in data science tools and programming languages (e.g., Python, R, SQL). Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- **Communication Skills**: Excellent verbal and written communication skills with the ability to explain complex concepts in a clear and engaging manner.
- **Certifications**: Relevant certifications in data science or teaching/training (e.g., Certified Data Scientist, Teaching Certification) can be an advantage.

**Attributes**:

- Strong analytical and problem-solving skills.
- Ability to engage and motivate learners.
- Adaptability and willingness to stay current with evolving data science technologies and methodologies.

**Work Environment**:

- May include in-person or remote training sessions.
- Occasional travel may be required for on-site training or workshops.

Schedule:

- Morning shift

**Experience**:

- total work: 2 years (preferred)

Work Location: In person

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