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As an Instructor at Simplilearn, you'll scale your impact as a Data science professional by training the next generation of professionals. You’ll create dynamic learning experiences through deployment of instructional best practices that are student-centered and designed to meet the needs of adult learners. You’ll facilitate lessons from the curriculum and will serve as subject matter expert to students. You will support students through exercises designed to build knowledge and skills and promote grit, problem-solving and a collaborative learning community. Ultimately, you will prepare students for the next chapter in their lives as they seek employment in the field of Data science. This is a part-time, remote role, as classes at Simplilearn are delivered synchronously and are 100% online. A cohort runs for around 5-7 months of instruction, meets on weekday evenings( Monday, Wednesday and Thursday) from 5:30 PM to 8:30 PM PST. The total weekly part-time commitment is expected to be 9-12 hours.
Job Responsibility:
Create a positive, professional and inclusive learning environment
Teach select lessons in accordance with learning objectives and fidelity to session plans provided by Simplilearn
Employ strategies known to meet the needs of adult learners
Manage regular communication with students to align on progress, expectations, celebrate milestones and address concern areas
Provide individualized student support during synchronous class sessions and outside class
Evaluate student performance and progression toward competencies based on course deliverables and course rubrics
Provide constructive and timely feedback to students
Assist in the management of Performance Action Plans for individual students who need additional support
Serve as role model for students and as an ambassador for our brand
Exhibit professionalism and an ethical and empathetic approach when engaging with Simplilearn staff, students, and the public
Promote student retention and amplify student satisfaction
Encourage teamwork and seek feedback for continuous improvement
Requirements:
8+ years of experience in the field of Data science/Machine learning/deep learning
Working knowledge of Applied Data science with Python
Good knowledge of Machine learning
Good knowledge of Deep learning with keras and tensorflow
A passion for teaching and an ability to explain complex technical concepts