Data Science Instructor, Junior
Algoritma
- South Jakarta, IndonesiaL9, Kav. X-2 No. 5 Jalan Haji R. Rasuna Said, South Jakarta, DKI Jakarta, IndonesiaSouth JakartaDKI JakartaIndonesiaIndonesia
- Rp 5.000.000,00 - Rp 10.000.000,00 / bulanIDR5000000100000005000000MONTH
- Penuh waktuFULL_TIME
Ditutup.
Deskripsi Pekerjaan
- Assist course producer to create course materials
- Delivered workshop when course producer is not available
- Assist to answer data science related question and problem from Algoritma student
- Assist to answer data science related question and problem from Algoritma corporate partner
- Work with Algoritma Business Development team to attend meetings
- Assist course producer to analyze data from various industries of Algoritma corporate partner.
Kualifikasi Minimum
- Bachelor's degree in area related but not limited to: mathematics, computer science, information technology, and finance
- GPA of at least 3.0 on a 4.0 scale
- Have natural curiosity and desire to learn
- Leadership abilities, initiative, creativity, integrity, technical excellence, and strong interpersonal and communication skills (verbal and written)
- Ability to work independently and in a group
- Exposed to statistical or computational programming and databases is a must
- Experienced with R or Python will be a plus
- Strong analytical skills, Data Management, Data Mining, Data Science, Machine learning and Statistics skills
- Interest or experience in data analytics, computer science, mathematics, statistics, economics, operations research, computational social science, quantitative finance, engineering or other data analysis field.
Keahlian yang diperlukan
- Data Visualization
- Presentation Skills
- Data Analysis
Ringkasan Perkerjaan
- Tingkat Posisi
- Lulusan Baru / Junior
- Spesialisasi
- Education and Training
- Persyaratan tingkat pendidikan
- Lulus program Sarjana (S1)
- Respon rekruter ke lamaran
- Sometimes
- Alamat Kantor
- 8, Kav. X-2 No. 5 Jalan Haji R. Rasuna Said , South Jakarta, DKI Jakarta, Indonesia
Tentang 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.