Job closed.
Job Description
Trainee for Algoritma team of instructors. Responsible for completing Algoritma Growth Program as part of competencies development.
Job Descriptions
- 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 lead instructor in conducting a workshop as 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 Alumnus or Corporate Clients
- Contribute to Algoritma's tools development for analyzing and improving team's pedagogical excellence
Minimum Qualifications
- Bachelor's degree in areas related but not limited to mathematics, computer science, information technology will be an advantage
- Displaying a strong interest in mastering full-stack data scientist state of the art practice is a must
- Highly enthusiastic with data analytics. Having experience in data analysis, data mining, machine learning projects will be a plus
- Exposed to statistical tools, computational programming, database management, or software engineering
- Experienced with R or Python
Perks and Benefits
- Paid Sick Leave
- Retirement Benefit Plans
- Medical / Health Insurance
Other
- Instructor & TA Incentive
- Annual Bonus
- Personal Development Benefit
- Laptop Ownership Program
Required Skills
- Data Visualization
- Machine Learning
- Analyzing Data
Jobs Summary
- Job Level
- Associate / Supervisor
- Job Category
- IT and Software
- Educational Requirement
- Bachelor's degree graduate
- Recruiter response to application
- Once in a while
- Office Address
- Kecamatan Setiabudi, Daerah Khusus Ibukota Jakarta, Indonesia
About Algoritma
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.