Data Science Trainer

Data Science Trainer

Location:

Data Science Trainer

Key Responsibilities

data science fundamentals

machine learning.

• Teach practical data manipulation, exploratory data analysis (EDA), model building, and evaluation

techniques.

Matplotlib, Seaborn, Power BI, or Tableau

• Design and update course materials, presentations, slides, assignments, and projects.

• Develop real-world case studies to enhance practical learning and problem solving.

• Prepare assessments, quizzes, and evaluations to measure learner progress.

• Mentor students individually and in groups to solve doubts and guide them through projects.

• Provide career guidance, resume tips, and mock interview preparation to help students with placements.

• Conduct doubt-clearing sessions or extra practice classes as needed.

• Stay updated with latest trends in data science, machine learning, and analytics and introduce relevant topics into the training.

• Work with the institute/academic team to refine the syllabus and improve learning outcomes. 

Bachelor’s/Master’s degree

• Prior experience in data science, analytics, or training is preferred (1–5 years). Training experience is a strong advantage.

Python & data science libraries

• Knowledge of SQL and database fundamentals.

• Familiarity with machine learning algorithms (supervised/unsupervised), data cleaning, and preprocessing.

• Experience with data visualization and BI tools (Tableau/Power BI) is desirable.

communication, presentation, and interpersonal skills

• Ability to break down complex technical concepts into clear, simple explanations.

• Strong mentoring mindset with a passion for helping learners succeed. 

Salary