Data Science Trainer in Classroom

Company DescriptionEstablished in 2010, 3RI Technologies Pvt. Ltd. is a leading IT training institute based in Pune, offering industry-focused education for students and professionals. The institute specializes in a range of job-oriented programs such as Data Science, Cloud Computing, DevOps, Java, Python, and more. 3RI Technologies is ISO 9001:2015 certified and accredited by renowned organizations like Pearson Vue, AWS, ISTQB, and CP-SAT. With a focus on practical training and certifications, they assist learners in building successful careers in the tech industry. Their commitment to skill development has made them a trusted name in IT education.Role DescriptionWe are seeking a highly motivated and skilled Data Science Trainer for a full-time, on-site role based in Pune City. The role involves designing and delivering comprehensive training programs in Data Science, guiding learners on concepts such as data analysis, machine learning, and programming languages. Daily tasks will include course planning, creating engaging lesson materials, mentoring students, evaluating performance, and staying updated with the latest trends and tools in the field of Data Science to provide best-in-class instruction.QualificationsStrong knowledge of data science fundamentals, tools, and techniques such as data analysis, machine learning, and statistical modelingHands-on experience with programming languages like Python, R, and SQLProficiency in Data Visualization tools and libraries such as Tableau, Power BI, or MatplotlibFamiliarity with Big Data technologies like Hadoop or Spark is a plusExcellent communication and presentation skills to effectively train individuals with diverse backgroundsAbility to mentor and guide students in solving real-world data science challengesExperience in teaching or training, along with demonstrated ability to simplify complex technical topicsEducational background in Data Science, Computer Science, Mathematics, or a related technical field; a Master's degree is preferred