Trainer Data Science
2 days ago
Job Description:
We are looking for passionate and knowledgeable technical trainers to join our growing training division at ARC Technologies & Institutions. The ideal candidate should possess strong technical expertise in Data Science, Data Analytics, or Java Full Stack Development, along with excellent communication and mentoring skills.
As a trainer, you will be responsible for delivering engaging, practical, and industry-oriented sessions to learners, guiding them through real-world projects, and preparing them for professional placements.
Key Responsibilities:
- Conduct interactive classroom and online sessions on respective technologies.
- Design and deliver structured training modules, assignments, and projects.
- Simplify complex concepts and ensure students understand both theory and practical implementation.
- Provide hands-on exposure through live coding, data handling, or application development sessions.
- Evaluate learners performance and provide constructive feedback.
- Stay updated with the latest trends, frameworks, and tools in relevant technologies.
- Contribute to course design, improvement, and continuous enhancement of learning outcomes.
Skill Sets Required:
Data Science Trainer:
- Python Programming
- Statistics & Probability
- SQL / Database Management
- Machine Learning Algorithms
- Deep Learning & Neural Networks
- Natural Language Processing (NLP)
- Artificial Intelligence (AI) Concepts
Data Analytics Trainer:
- Advanced Excel
- SQL
- Power BI / Tableau
- Python for Data Analysis
- Data Visualization & Business Intelligence
- Introduction to AI & Predictive Analytics
Java Full Stack Trainer:
- HTML, CSS, Bootstrap
- JavaScript,
- Core Java, Advanced Java
- SQL / Database Integration
- Web Application Development
- MVC Frameworks & RESTful APIs
Candidate Profile:
- Strong passion for teaching, mentoring, and sharing knowledge.
- Excellent communication and presentation skills.
- Prior experience in training or corporate mentoring will be preferred.
- Ability to guide learners on real-time projects and placement preparation.
- Should be well-versed with current industry practices and tools.
Educational Qualification:
- Bachelors or Masters Degree in Computer Science / IT / Engineering / Data Science / Related Fields.
- Relevant certifications in respective domains will be an added advantage.
Perks & Benefits:
- Competitive salary based on expertise and delivery quality.
- Flexible working environment and growth opportunities.
- Exposure to live projects, placement drives, and corporate training programs.
- Opportunity to mentor career-focused learners and shape industry-ready professionals.
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