Data Science & Data Analytics Trainer

Astral Interntional

Maharashtra

Presencial

INR 502.000 - 558.000

Jornada completa

Hace 12 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Astral Interntional in Thane West, Maharashtra, seeks a Data Science & Data Analytics Trainer to deliver industry-focused training and mentor students. The role requires practical experience in data science, analytics, and machine learning, and a passion for teaching.

You will teach Python, SQL, Pandas, NumPy, and data visualization, develop course materials, supervise hands-on projects, and help students apply concepts to real-world datasets.

Formación

  • 2–3 years of relevant experience in data science, analytics, or technical training.
  • Strong knowledge of Python, SQL, Pandas, NumPy, and Scikit-learn.
  • Working knowledge of Power BI or Tableau.
  • Good understanding of statistics, ML, and data visualization.
  • Knowledge of Generative AI, LLMs, and MLOps will be an added advantage.
  • Excellent communication, presentation, and mentoring skills.
  • Ability to explain concepts with practical examples and real-world projects.

Responsabilidades

  • Deliver practical and industry-oriented training sessions in Data Science and Data Analytics.
  • Teach Python, SQL, Pandas, NumPy, and data visualization techniques.
  • Explain statistical concepts, Machine Learning algorithms, and AI fundamentals.
  • Conduct hands-on projects, workshops, and practical assignments.
  • Develop and update course materials and training content.
  • Mentor students, assess progress, and provide constructive feedback.
  • Stay updated with emerging technologies and industry trends.

Conocimientos

Python
SQL
Pandas
NumPy
Scikit-learn
Power BI
Tableau
Statistics
Machine Learning
Data Visualization
Generative AI
LLMs
MLOps
Communication
Mentoring

Herramientas

Power BI
Tableau

Descripción del empleo

Job Title: Data Science & Data Analytics Trainer
  • Location: Thane West, Maharashtra (2-minute walk from Thane Railway Station)
  • Job Type: Full-Time
  • Experience: 2–3 Years
Job Description

We're looking for a skilled and passionate Data Science & Data Analytics Trainer to join our team in Thane West. The ideal candidate should have practical industry experience in Data Science, Data Analytics, and Machine Learning, along with a strong interest in training and mentoring students.

Key Responsibilities
  • Deliver practical and industry-oriented training sessions in Data Science and Data Analytics.
  • Teach Python, SQL, Pandas, NumPy, and data visualization techniques.
  • Explain statistical concepts, Machine Learning algorithms, and AI fundamentals.
  • Conduct hands-on projects, workshops, and practical assignments.
  • Develop and update course materials and training content.
  • Mentor students, assess their progress, and provide constructive feedback.
  • Stay updated with emerging technologies and industry trends.
Required Skills & Qualifications
  • 2–3 years of relevant experience in Data Science, Data Analytics, Machine Learning, or technical training.
  • Strong knowledge of Python, SQL, Pandas, NumPy, and Scikit-learn.
  • Working knowledge of Power BI or Tableau.
  • Good understanding of Statistics, Machine Learning, and Data Visualization.
  • Knowledge of Generative AI, LLMs, and MLOps will be an added advantage.
  • Excellent communication, presentation, and mentoring skills.
  • Ability to explain technical concepts through practical examples and real-world projects.
Preferred Candidate
  • Candidates with strong practical knowledge and a passion for teaching will be preferred.

Pay: ₹45,000.00 - ₹50,000.00 per month

Application Question(s)
  • How many years of experience do you have in Data Science, Data Analytics, or Machine Learning?
  • Do you have Strong expertise in Python, SQL, Pandas, NumPy, Scikit-learn, Power BI/Tableau?
  • Do you understand of Statistics, Machine Learning, Data Visualization, and AI concepts?
  • Do you have Knowledge of GenAI, LLMs, and MLOps?

Work Location: In person

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