DataScience Faculty

1 day ago

Kolkata West Bengal India, West Bengal WEBSKITTERS TECHNOLOGY SOLUTIONS PRIVATE LIMITED Full time

Role Overview

We are seeking a Data Science Faculty / Trainer with a proven Hands on expertise in Data Analytics blend of industry execution (IT or service-based projects) and academic delivery (EdTech or corporate training).

You will be responsible for delivering end-to-end learning programs in Data Science, Machine Learning, AI, and Generative AI, while also integrating real-world IT project experience into your sessions.

The ideal candidate is both a hands-on practitioner and an educator — capable of mentoring learners, translating enterprise-grade solutions into simple concepts, and driving measurable learning outcomes.


Key Responsibilities

  • Deliver instructor-led sessions on:
  • Python for Data Science
  • Statistics & Probability
  • Exploratory Data Analysis (EDA)
  • Machine Learning (Supervised & Unsupervised)
  • Deep Learning (ANN, CNN, RNN, LSTM)
  • Natural Language Processing (NLP)
  • SQL, Power BI, Tableau
  • Cloud AI tools (AWS, Azure, GCP optional)
  • Design and deliver interactive sessions on Data Analytics concepts including Excel Analytics, SQL, Power BI, Tableau, Python (Pandas, NumPy), and Statistics.
  • Conduct lectures, workshops, and lab sessions for students or professionals across beginner to advanced levels.
  • Customize training content based on audience profiles — working professionals, graduates, or corporate teams.
  • Facilitate hands-on exercises, real-time projects, and case studies to reinforce practical learning.
  • Ensure high engagement through live problem-solving, Q&A, and feedback sessions.


Required Skills and Competencies

  • Demonstrate expertise in tools such as Excel (Advanced), Power BI, Tableau, SQL, Python, and Google Data Studio.
  • Teach core concepts: Descriptive & Predictive Analytics, Data Cleaning, Data Transformation, and Visualization.
  • Incorporate real-time dashboards, KPI tracking, and report automation into training modules.
  • Stay updated on emerging analytics tools and AI-driven data platforms to continuously enhance the curriculum.


Qualification

  • Bachelor’s or Master’s Degree in Computer Science / Data Science / AI / Statistics / Mathematics / Engineering.
  • Professional certifications (e.g., IBM Data Science, Google ML, AWS ML, or Coursera Specializations) are a plus.

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