Company Introduction
**We** enjoy working with talented software engineers and hope you do too. **KMK**Labs is bringing together some of the best engineers, product designers, and resources in Indonesia to shape what’s online in Indonesia. We are building services for everyone in our country. At **KMK**Labs, we develop software through Extreme Programming. That means a sustainable pace (8 hour days, no overtime, no nights or weekends), pair programming, test driven development, weekly tech talks, daily screencasts, continuous integration, continuous deployment. We find that these techniques work and believe you will too. They help turn smart programmers into skilled engineers.
Primary Responsibility
1. Responsible to collect, clean, analyze, provide insights from data, real-time or periodically, and communicate the findings to different teams or stakeholders in the company
2. Answer questions by using appropriate statistical techniques on available data
3. Work with various internal and 3rd-party data sources
4. Provide support for employees from other departments working on problems involving data
Qualification
Qualification
1. Singaporean citizen or permanent resident (PR)
2. Bachelor's or Master's degree in a quantitative field
3. An insatiable passion for solving analytical problems using quantitative approaches
4. Comfort manipulating and analyzing large data sets from varying sources
5. Ability to balance a fast-paced working environment with the need for precision
6. Ability to work both independently and collaboratively within a team
7. Experience with an analysis tool such as R, MATLAB, or SAS
8. Fluency with at least one scripting language such as Python, Perl, or PHP
9. Experience with relational databases and SQL
Bonus points for:
1. Familiarity with distributed system technologies such as Hadoop and NoSQL databases
2. Familiarity with the inner workings of News / Media Publishing platforms
3. Have collaborated with other scientists in publishing statistical models for the greater good
Informasi lebih lanjut
Bidang Pekerjaan |
Status Kepegawaian |
Data Analysis
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Full-Time
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Pendidikan Terakhir |
Gaji |
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Tingkat Jabatan |
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