Data Science Trainee

**Course Management**:Oversee and maintain Algoritma’s Class Management System, ensuring assignment grading meets SLA standards.
- **Syllabus and Curriculum Development**:Design, update, and refine syllabi and curricula to align with industry standards, ensuring relevance for both beginners and intermediate learners.
- **Class Delivery**:Lead engaging and interactive classes, workshops, and bootcamps, using a hands-on, learn-by-building methodology.
- **Student Support**:Provide mentorship and answer technical data science-related questions through online support, fostering a positive and supportive learning environment.
- **Workshop Support**:Manage logistics, track attendance, resolve technical issues, and ensure successful workshop execution.
- **Content Development**:Create and enhance educational materials for students, alumni, and corporate clients, ensuring high-quality and practical resources.
- **Pedagogical Excellence**:Contribute to the development of tools and strategies to improve teaching effectiveness and the overall learning experience.

Minimum Qualifications: Are you passionate about data science and eager to empower others with valuable skills?

At Algoritma, we’ve been making data science accessible since 2017. Through corporate training, programming workshops, and data science bootcamps, we’ve helped beginners and non-programmers achieve their career goals with a hands-on, learn-by-building approach.

We’re seeking Data Science Trainer and Instructors to join our team of dedicated professionals. In this role, you’ll help students acquire industry-ready skills in R, Python, and SQL, contribute to innovative educational content, and support learners as they navigate their data science journey. You’ll also have the opportunity to deepen your own expertise while making a meaningful impact on the lives of others.

At Algoritma, we believe education transforms lives. If you’re committed to lifelong learning and love teaching, this position offers a rewarding opportunity to grow and inspire.

**Requirements**:

- **Education**:Bachelor's degree in Mathematics, Computer Science, Information Technology, or related fields (preferred but not required).
- **Technical Skills**:Proficiency in SQL, R, or Python; experience with statistical tools, computational programming, or database management is a plus.
- **Data Expertise**:Demonstrated enthusiasm for mastering full-stack data science practices, including data analysis, data mining, and machine learning.
- **Passion for Learning**:Strong interest in data analytics and a commitment to continuous growth in the field.
- **Communication Skills**:Ability to mentor and guide students effectively, fostering an engaging and supportive learning environment.

Data Science Education Center Algoritma is founded with the purpose of making data science accessible to everybody. We organise data science workshop for individuals and corporate, we adopt a learn-by-building approach suited to beginners and non-programmers. What is it like working at Algoritma? STARK Values at Algoritma: 1. Stay Proactive & Positive: We entrust people with huge responsibilities and allow for a high degree of autonomy and creative freedom. - Our employees take initiative - Our managers believe in empowerment - Our project directors take ownership of their results. 2. Trust & Loyalty: We may not be able to control everything, but we can influence certain things. - Our employees are trustworthy and loyal - Our manager do not take unethical shortcuts and think of long term impact of their decisions 3. Accountability. Accountability is about follow through and getting done what you said you’d get done. It’s recognizing that other team members are dependent on the results of your work. It’s about open, proactive communication to keep team members informed of the status of your commitments because it has a direct impact on their ability to achieve their own commitments. - Our employees take the responsibility to complete the tasks assigned. - Our employees perform the duties required by the job further the goals of the organization. - Our employees recognize that procrastinating feedback only makes things worse, thus makes accountability it a habit 4. Relentless & focused: We demonstrate outstanding focus and work ethics, productivity, and a sense of urgency in our work. - Our employees are reliable in their commitment - Our managers set challenging but attainable goals 5. Kindness: We treat others how we would want to be treated. We respect other people’s opinion despite disagreement. We do not shame others for voicing their concern or opinion, we embrace openness and kindness. We believe that people who are compassionate are easier to work with and are more successful as they receive more opportunities. You can’t fake a culture of kindness. - Our employees get things done without stepping on others. - Our employees don't use fear tactics or shaming.