Data Science Technical Instructor

0 - 1 years

0 Lacs

Posted:2 days ago| Platform: Indeed logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities

  • Deliver high-quality training sessions in Data Analytics and Data Science concepts.
  • Teach programming languages such as Python, SQL, and Java (basic exposure preferred).
  • Train learners on Data Structures & Algorithms (DSA) fundamentals where applicable.
  • Cover Data Analytics tools and techniques including data cleaning, data visualization, and exploratory data analysis (EDA).
  • Explain statistics, probability, and mathematical foundations for data science.
  • Introduce Machine Learning concepts (Supervised & Unsupervised learning).
  • Guide students in real-world projects, case studies, and capstone projects.
  • Conduct assessments, assignments, quizzes, and code reviews.
  • Provide mentorship and career guidance to students.
  • Stay updated with the latest industry trends and integrate them into training modules.
  • Collaborate with internal teams to improve curriculum and training delivery.

Required Skills

  • Strong proficiency in Python for Data Analysis
  • Hands-on experience with Pandas, NumPy, Matplotlib, Seaborn
  • Knowledge of SQL and databases
  • Solid understanding of Statistics, Probability, and Linear Algebra
  • Familiarity with Machine Learning algorithms (Regression, Classification, Clustering)
  • Experience with Data Visualization tools (Power BI / Tableau – preferred)
  • Understanding of DSA fundamentals
  • Excellent communication and presentation skills
  • Passion for teaching and mentoring students

Job Types: Full-time, Permanent

Pay: ₹20,000.00 - ₹35,000.00 per month

Ability to commute/relocate:

  • Kankarbagh, Patna, Bihar: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

  • Expected Salary :
  • Notice Period :
  • Current Salary :

Education:

  • Bachelor's (Required)

Experience:

  • Teaching: 1 year (Required)

Language:

  • English (Preferred)

Work Location: In person

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