Data Science Trainer
6 months ago
**Technical Guidance**:
- **Subject Matter Expertise**: Provide expertise in various areas of data science, including but not limited to statistics, machine learning, data visualization, and programming languages such as Python or R.
- **Project Support**: Assist mentees in conceptualizing, planning, and executing data science projects, offering guidance on methodologies, algorithms, and best practices.
- **Code Review**: Review mentees' code to ensure it follows industry standards, is efficient, and adheres to best practices.
- **Troubleshooting**: Help mentees debug errors and overcome technical challenges they encounter while working on projects or learning materials.
**Learning Support**:
- **Curriculum Guidance**: Advise mentees on appropriate learning resources, courses, and textbooks to enhance their understanding of data science concepts and techniques.
- **Customized Learning Plans**: Develop personalized learning plans tailored to each mentee's goals, background, and skill level.
- **Progress Tracking**: Monitor mentees' progress and provide feedback to help them stay on track with their learning objectives.
- **Resource Recommendations**: Recommend supplementary resources such as articles, research papers, online tutorials, or workshops to deepen mentees' understanding of specific topics.
**Career Development**:
- **Resume Review**: Assist mentees in crafting effective resumes and LinkedIn profiles that highlight their skills, projects, and achievements in data science.
- **Interview Preparation**: Conduct mock interviews and provide feedback on mentees' responses to common data science interview questions, technical challenges, and case studies.
- **Networking**: Facilitate introductions and connections within the data science community, including industry professionals, recruiters, and fellow mentees, to expand mentees' professional networks.
- **Career Guidance**: Offer insights into different career paths within the field of data science, including industry sectors, job roles, and skill requirements, based on mentees' interests and aspirations.
**Soft Skills Development**:
- **Communication Skills**: Provide guidance on effectively communicating complex technical concepts to non-technical stakeholders through presentations, reports, and visualizations.
- **Problem-Solving Skills**: Encourage mentees to develop critical thinking and problem-solving abilities by tackling real-world data science challenges and projects.
- **Collaboration Skills**: Foster a collaborative learning environment where mentees can exchange ideas, share experiences, and provide mutual support to each other.
**Ethical Considerations**:
- **Ethical Awareness**: Raise awareness of ethical considerations and implications in data science, including privacy, bias, fairness, and transparency.
- **Responsible Data Use**: Encourage mentees to adhere to ethical guidelines and best practices when collecting, analyzing, and interpreting data, and to consider the potential societal impact of their work.
Give us a call on 9902341332
**Job Types**: Full-time, Permanent
Pay: ₹15,000.00 - ₹30,000.00 per month
Schedule:
- Day shift
- Monday to Friday
Supplemental pay types:
- Overtime pay
- Performance bonus
- Yearly bonus
**Experience**:
- total work: 1 year (preferred)
Work Location: In person
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