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Data Science Trainer
1 month ago
**Data science trainer Job Summary**:
**Key Responsibilities**:
- **Curriculum Development**:
○ Create, update, and maintain course materials (slides, assignments, exercises) on various data science topics, including but not limited to statistics, machine learning, data visualization, Python, R, SQL, and big data technologies.
○ Tailor training content to meet the needs of both beginner and advanced learners, ensuring that all materials are accessible and engaging.
- **Training Delivery**:
○ Deliver training sessions in-person and/or online, focusing on interactive, hands-on learning.
○ Explain complex data science concepts in a clear and engaging manner.
○ Provide demonstrations of data science tools and techniques, and facilitate practical exercises using real-world datasets.
- **Learner Support**:
○ Offer ongoing support and feedback to learners throughout the training program.
○ Help learners troubleshoot and overcome challenges related to course material and exercises.
○ Track and assess learner progress, providing constructive feedback and guidance.
- **Workshops and Bootcamps**:
○ Conduct specialized workshops or bootcamps for organizations, teams, or individuals to address specific data science needs.
○ Customize training programs to align with organizational goals, industry standards, or emerging trends in data science.
- **Collaboration**:
○ Work closely with HR or Learning & Development teams to understand training requirements and ensure alignment with business goals.
○ Stay up-to-date with the latest trends, tools, and technologies in data science to ensure the training content is relevant and current.
- **Assessment and Evaluation**:
○ Develop and administer assessments to gauge the effectiveness of training programs and learner comprehension.
○ Continuously improve training programs based on feedback and performance results.
**Qualifications**:
- **Education**:
○ Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- **Experience**:
○ 3+ years of hands-on experience in data science or a related field.
○ Experience working with popular data science tools and libraries (e.g., Python, R, SQL, Pandas, TensorFlow, Scikit-learn, Tableau, etc.).
- **Skills**:
○ Strong understanding of core data science concepts, including data wrangling, machine learning, statistical analysis, and data visualization.
○ Excellent communication and presentation skills with the ability to explain complex topics to non-experts.
○ Proficient in Python, R, SQL, and other data science tools.
○ Familiarity with e-learning platforms and virtual training tools (e.g., Zoom, Microsoft Teams, etc.).
○ Strong organizational skills and the ability to manage multiple training sessions or cohorts at once.
- **Certifications (optional)**:
○ Certification in Data Science or related fields (e.g., Microsoft, Google, Coursera, etc.) is a plus.
**Job Types**: Full-time, Permanent
Pay: ₹546,598.00 - ₹1,886,634.46 per year
**Benefits**:
- Work from home
Schedule:
- Day shift
- Evening shift
- Monday to Friday
- Weekend availability
Supplemental Pay:
- Commission pay
- Performance bonus
Work Location: Remote