A Data Science Trainer job description requires candidates to deliver practical training, design curriculums, and mentor learners in core skills like Python, Machine Learning, and SQL.
Key Responsibilities
- Deliver Training: Conduct interactive classroom or online sessions on Python, statistics, machine learning, deep learning, and Generative AI.
- Content Creation: Design assignments, real-world case studies, and projects using live datasets.
- Student Evaluation: Assess learner performance, clear doubts, and provide constructive feedback.
- Mentorship: Guide students through capstone projects and offer career or interview preparation support.
Required Skills & Qualifications
- Education: Master's degree in Data Science, Computer Science, Statistics, or a related field.
- Technical Stack: Proficiency in Python/R, SQL, Pandas, NumPy, Scikit-learn, and visualization tools like Power BI or Tableau.
- Advanced Tech: Familiarity with Deep Learning frameworks and Generative AI/LLM tools is increasingly preferred.
- Soft Skills: Strong public speaking, presentation, and simplified concept-mapping abilities.
