Job Title: Data Science Teacher (1 - 1.5 Years of Experience)
Location: Vaishali Nagar, Jaipur
Job Type: Full-Time
About Us:
We're looking for a Data Science Trainer/Teacher to join our team, combining hands-on data science development with the opportunity to teach and mentor the next generation of data scientists. You'll build innovative machine learning models while designing and delivering training programs that bridge theory with real-world applications. Addition to teaching, you'll also have the exciting opportunity to work as a Data Science Developer, contributing to live, real-world data science projects and enhancing your technical expertise while mentoring students.
Key Responsibilities:
Develop and deliver lessons on core data science topics such as data analysis, statistics, machine learning, data visualization, and programming languages (e.g., Python, R, SQL).
Work as a Data Science Developer: Build and implement data science solutions, helping tackle complex data problems alongside your teaching duties.
Use real-world datasets and case studies to provide practical, hands-on learning experiences.
Stay up-to-date with trends in the data science field and continuously improve course content.
Foster a positive, collaborative learning environment that encourages curiosity and critical thinking.
Collaborate on data science projects: Gain real-world exposure by applying your expertise to live problems, collaborating with professionals, and guiding students as they solve challenges faced by actual businesses and organizations.
Qualifications:
Bachelor's degree .
At least 1 - 1.5 years of teaching experience, either in a classroom setting or through online platforms.
Strong proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
Solid understanding of machine learning algorithms, statistics, and data manipulation techniques.
Excellent communication skills, with the ability to explain complex concepts in a clear and engaging way.
Passion for teaching and helping students succeed.
Ability to adapt to different learning styles and levels of experience
Job Type: Full-time
Schedule:
• Day shift
Work Location: In person
Expected Start Date: 02/12/2024
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