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Data Science Educator

2 months ago

Bengaluru, Karnataka, India AISECT Full time

About the Role:

AISECT Limited, a leading technology education institution, is seeking a Data Science Trainer to lead data science training programs across Bengaluru.

Key Responsibilities:

  • Design and implement comprehensive data science curricula, covering statistical analysis, machine learning algorithms, data engineering, and deep learning techniques.
  • Develop practical, hands-on session plans that combine theoretical knowledge with real-world applications.
  • Conduct advanced training on data manipulation, feature engineering, model building, and evaluation.
  • Instruct students on data science tools and programming languages, including Python, R, SQL, and machine learning libraries such as Tensor Flow, Scikit-learn, and PyTorch.
  • Introduce students to data visualization tools such as Tableau, Power BI, and Matplotlib.
  • Compile and present detailed daily reports on student progress, including evaluations of projects, assessments, and feedback.
  • Deliver 2 to 4 hour intensive training sessions across multiple locations in Bengaluru, ensuring high engagement and learning outcomes.
  • Stay updated on the latest developments in data science and integrate them into training modules.

Requirements:

  • A degree in Computer Science, Data Science, or a related quantitative field.
  • At least 1 year of professional experience in data science, machine learning, or a related field.
  • Strong understanding of statistical concepts, probability theory, and machine learning techniques.
  • Expertise in data pre-processing, feature engineering, model building, and evaluation.
  • Proficiency in SQL and experience with both relational and NoSQL databases.
  • Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, GCP).
  • Excellent skills in data visualization and hands-on experience with business intelligence tools.
  • Prior teaching, mentoring, or corporate training experience is highly preferred.
  • Ability to simplify and communicate complex technical concepts to students with diverse backgrounds.