Data Science Trainer

2 years

0 Lacs

Posted:23 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Title: Data Science Trainer

Company: WsCube Tech

Location: Jaipur, Rajasthan

Role Type: Full-Time

Experience Required: 2+ Years (Industry or Training)


About WsCube Tech:

WsCube Tech is a Vernacular Upskilling EdTech company dedicated to creating job-ready professionals for the global workforce. Our mission is to bridge skill gaps with tech-powered career acceleration programs and impact over 100 million career aspirants in the next five years.

You can learn more about us via our website at https://www.wscubetech.com/

and YouTube channel at https://www.youtube.com/@wscubetech


About the Role:

WsCube Tech is looking for an experienced Data Science Trainer who can deliver high-quality training on Data Analytics, Machine Learning, and industry tools. The trainer should be comfortable teaching both theory and practical concepts and guiding learners toward industry readiness.



Key Responsibilities:

  1. Deliver training sessions on Python, SQL, Machine Learning, Statistics, and Power BI.
  2. Conduct classroom training, doubt-solving, and one-on-one learner mentorship.
  3. Prepare and update course material, assignments, assessments, and real-world projects.
  4. Evaluate learner performance and share structured feedback.
  5. Guide learners on project building, interview preparation, and industry expectations.
  6. Work closely with the academic team for curriculum enhancement and training quality.
  7. Maintain an engaging and supportive learning environment.
  8. Stay updated with industry trends and integrate practical examples in sessions.



Technical Skills Required:

  • Strong hands-on experience with Python (NumPy, Pandas, Matplotlib, Seaborn).
  • Solid understanding of Machine Learning algorithms and model building.
  • Practical knowledge of SQL and relational databases.
  • Experience with Power BI or Tableau for data visualization.
  • Strong understanding of Statistics, EDA, Hypothesis Testing, and Data Wrangling.
  • Knowledge of Deep Learning, NLP, or cloud platforms is an added advantage.


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