Part-Time Statistics for Data Science Tutor (Remote)

10 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Part Time

Job Description

dedicated and knowledgeable Statistics for Data Science Tutor

Key Responsibilities:
  • Deliver interactive and practical lessons on

    Statistics for Data Science

    , ensuring clarity in concepts like probability, hypothesis testing, regression, sampling methods, statistical modeling, and machine learning fundamentals.
  • Incorporate

    computer field–related tools and techniques

    such as Python (NumPy, Pandas, SciPy, Statsmodels), R, SQL, or other statistical tools relevant for data science.
  • Provide

    individual attention

    to students, guiding them step-by-step through theory, problem-solving, and real-world applications.
  • Assess the learning progress of students and provide constructive feedback for improvement.
  • Maintain professionalism and punctuality during all sessions.
Requirements:
  • Experience:

    2–10 years of teaching/tutoring experience in Statistics for Data Science (fresher with strong subject knowledge and teaching passion may also apply).
  • Communication:

    Excellent English communication skills, with the ability to explain complex topics in a simple and engaging manner.
  • Technical Skills:

    Hands-on experience with statistical tools and techniques commonly used in the computer and data science fields.
  • Equipment:

    Must own a personal laptop and have access to a

    stable Wi-Fi connection

    .
  • Work Mode:

    Remote, part-time, and strictly

    one-to-one sessions

    (not group/batch classes).
  • Pay Structure:

    ₹400–₹500 per hour. Only apply if you agree with the pay rate.
Eligibility:
  • Candidates who have already applied earlier

    need not reapply

    .
  • This role is ideal for individuals passionate about teaching, patient in handling students at different levels, and serious about long-term commitment.
Why Join Eduflute Academy?
  • Flexible working hours based on student and tutor availability.
  • Opportunity to make a real impact on students’ academic and professional growth.
  • Work in a

    remote-friendly environment

    with support from a collaborative team.

Statistics for Data Science

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