Data Science Instructor

0 years

0 Lacs

Posted:1 week ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Company Description

inGrade is a leading EdTech organization dedicated to transforming careers through cutting-edge technology courses such as Data Science, Generative AI, Cybersecurity, Prompt Engineering, and Data Analysis. Our mission is to equip learners with the latest skills needed to thrive in the global job market. We pride ourselves on our personalized mentorship, hands-on projects, and real-world experience to cultivate the tech leaders of tomorrow. Our industry expert instructors create an engaging and immersive learning environment to help students achieve their career aspirations. Join inGrade and be part of a community that empowers talent to shine in the international tech industry.

Role Description

The Data Science Instructor is a full-time, on-site role located in Noida. As a Data Science Instructor, you will be responsible for designing and delivering engaging course content, mentoring students, and facilitating real-world projects to strengthen their skills. You will also provide guidance on industry best practices and collaborate with the curriculum team to ensure course materials align with industry trends and standards. This role involves continuous engagement with students to help them overcome challenges and achieve academic and professional success.

Qualifications

  • Strong foundation in Excel, Power Bi, Tableau, Knime, Altyrex, Data Science, Machine Learning, and Artificial Intelligence
  • Experience in using programming languages such as Python, R, or SQL
  • Proficiency in data analysis, visualization, and modeling
  • Knowledge of statistics, algorithms, and data processing techniques
  • Ability to deliver engaging, interactive, and informative instruction
  • Capability to mentor and guide students on projects and career development
  • Effective communication and interpersonal skills
  • Bachelor's or Master's degree in Computer Science, Data Science, Analytics, or a related field
  • Previous teaching, mentoring, or industry experience is highly valued

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