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Join Our Team: Full-Time Data Science Instructor (Remote)

100% remote Flexible hours Hiring now

Job Summary:

We are seeking a highly motivated and experienced Data Science Instructor to join our team at LawSikho, a leading legal EdTech company. As a Data Science Instructor, you will play a crucial role in shaping the careers of our students by providing high-quality instruction and guidance in data science. This is a full-time remote position, offering a competitive salary, health insurance, and the opportunity to work with a dynamic team.

About Us:

LawSikho is a legal EdTech company with a vision of creating a global platform focused on upskilling, higher education, and geo-arbitrage career opportunities. We cater to around 35,000+ paid online learners from all over the world at different levels of career experience and count many Fortune 500 and BSE SENSEX 30 companies as our clients.

Key Responsibilities:

  • Design and develop comprehensive syllabi and curricula to meet course requirements and student learning outcomes.
  • Deliver engaging, effective, and interactive instruction to students.
  • Provide timely and constructive feedback on assignments and exams.
  • Submit midterm and final grades, attendance records, and other required reports.
  • Communicate consistently with students, faculty, and administrators.

Requirements:

  • Minimum 1 year of experience in a related field.
  • Proficiency in Python, Excel, data visualization, data analytics, machine learning, Tableau, Power BI, and SQL.
  • Comfortable with the basics of other common programming languages.
  • Ability to clearly understand and describe complex concepts.
  • Excellent judgment, inventiveness, and writing ability to create engaging content.
  • Background in Data Analytics or Data Science.

What We Offer:

  • Competitive salary.
  • Health insurance.
  • 5 days a week.
  • Remote work opportunity.
  • Opportunity to work with a dynamic team.

How to Apply:

If you are passionate about teaching and have a strong background in data science, we encourage you to apply for this exciting opportunity. Please submit your application by 2025-01-12 23:59:59. Apply Now Apply for this job

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