**Background**:
Are you looking to build a career in data science and make a positive impact on others? Algoritma was founded in 2017 to make data science skills accessible to everybody. We organize corporate training, programming workshops, and data science bootcamps that adopt a learn-by-building approach suited to beginners and non-programmers. We are seeking passionate and motivated individuals to join our team as Data Science Instructors.
At Algoritma, we believe in the power of education to transform lives. That's why we offer corporate training, programming workshops, and data science bootcamps that are accessible to beginners and non-programmers, using a learn-by-building approach. As a Data Science Trainee, you'll be responsible for completing this development program, maintaining our class management system, and answering online mentor support inquiries from our clients. You'll also assist the lead instructor in conducting workshops, tracking attendance, and ensuring logistics and venue preparation. Plus, you'll have the chance to contribute to the development of Algoritma's educational content and tools, helping to improve our team's pedagogical excellence.
**Responsibilites**:
Complete the Data Science Trainee development program Algoritma Instructor and Course Producer designed.
Responsible for maintaining Algoritma's Class Management System to meet the SLA for student assignment grading.
Responsible for answering online mentor support service for all Algoritma clients in answering technical data-science-related questions.
Assist the lead instructor in conducting a workshop as a teaching assistant.
Responsible for tracking attendance, ensuring logistics and venue preparation, and solving technical problems.
Contribute to developing Algoritma educational content in data science for a network of Alumni or Corporate Clients.
Contribute to Algoritma's tools development for analyzing and improving the team's pedagogical excellence.
**Requirements**:
Bachelor's degree in areas related to but not limited to Mathematics, Computer Science, and Information Technology will be an advantage.
Displaying a solid interest in mastering full-stack data scientist state-of-the-art practice is a must.
Highly enthusiastic about data analytics.
Experience in data analysis, data mining, and machine learning projects will be a plus.
Exposed to statistical tools, computational programming, database management, or software engineering.
Experienced with SQL, R or Python.