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Data Science & Machine Learning Mentor

Unified Mentor Private Limited


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0-2 Years
a month ago
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Job Description

Company: Unified Mentor Pvt Ltd

Location: Remote

Type: Full-time

Salary: 15,000/- to 20,000/-

About Us:

Unified Mentor Pvt Ltd is dedicated to empowering individuals through education and mentorship. We specialize in providing high-quality, personalized learning experiences in data science, data analytics, and machine learning. Our mission is to bridge the gap between knowledge and practical application, helping students and professionals to achieve their career goals.

Job Description:

We are seeking an experienced and passionate Data Science Mentor to join our team. The ideal candidate will have a deep understanding of data science, data analytics, and machine learning concepts and will be able to effectively convey this knowledge to students through various mediums.


  • Conduct interactive and engaging sessions on data science, data analytics, and machine learning.
  • Create high-quality educational videos and learning materials.
  • Provide personalized mentorship and solve student doubts and queries.
  • Design and deliver curriculum content, exercises, and projects.
  • Stay updated with the latest trends and advancements in data science and machine learning.
  • Provide feedback and guidance to students on their projects and assignments.
  • Collaborate with other mentors and staff to continuously improve the learning experience.


  • Proven experience in data science, data analytics, and machine learning.
  • Strong programming skills in languages such as Python, R, SQL, etc.
  • Familiarity with machine learning frameworks like TensorFlow, Keras, PyTorch, etc.
  • Excellent communication and presentation skills.
  • Prior experience in teaching, mentoring, or creating educational content is highly desirable.
  • Ability to simplify complex concepts and make them accessible to beginners.
  • A passion for teaching and helping others succeed.


  • Flexible working hours.
  • Opportunity to work with a diverse and dynamic team.
  • Access to a vast network of professionals in the field.
  • Continuous learning and professional development opportunities.


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Last Updated: 23-06-2024 00:38:44 PM
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