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Job Title


Data Science Instructor (Telugu-Speaking)


Company : fussion skill


Location : Nadiad, Gujarat


Created : 2025-06-17


Job Type : Full Time


Job Description

Job descriptionFussion skill is seeking a highly skilled and passionate Data Science Instructor who is fluent in Telugu. The ideal candidate will have significant industry experience in Data Science and a strong background in teaching or mentoring. This position involves guiding students through a comprehensive curriculum that covers the fundamentals and advanced aspects of Data Science.ResponsibilitiesTeach Core Data Science Topics: Instruct students on key concepts such as data wrangling, data analysis, data visualization, and machine learning.Hands-On Programming: Conduct classes on Python programming for data science using libraries like Pandas, NumPy, Matplotlib, and Seaborn for data manipulation and visualization.SQL for Data Analysis: Teach SQL for data querying and database management.Statistical Analysis: Guide students on essential statistical methods used in data science.Machine Learning Basics: Provide foundational training in machine learning using Scikit-Learn for tasks such as classification, regression, and clustering.Projects and Real-World Scenarios: Design and lead projects to help students apply their knowledge to real-world situations.Student Guidance: Offer mentorship, feedback, and support to help students master the skills necessary for a career in Data Science.QualificationsExperience: Minimum 4 years of industry experience in Data Science.Technical Skills:Proficient in Python and its data science libraries (Pandas, NumPy, Matplotlib, Seaborn).Strong knowledge of SQL for data extraction and manipulation.Experience with Scikit-Learn for machine learning.Familiarity with statistical analysis and its applications in data science.Language: Must be fluent in Telugu (mandatory for clear communication with students).Teaching Experience: Previous experience in teaching, training, or mentoring is preferred.Employment TypePart-time