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Telkom Indonesia / telkom.co.id |
As a state-owned company, Telkom Indonesia is majority by the Government of Indonesia. As of December 2016, PT Telekomunikasi Indonesia Tbk is 52.09% owned by the Government of Indonesia and other remaining was owned by Public (47.91%). As of December 2016, Telkom Indonesia's operations are divided into 7 regional division offices. These regions gave Telkom Indonesia a total of 58 telecommunication areas and 572 Plasa Telkom spread across Indonesia.
According to PT Telekomunikasi Indonesia Tbk Annual Report 2016 as quoted by JobsCDC.com, Telkom Indonesia closed the business year of 2016 with a positive result. Telkom Indonesia reported total revenue of Rp116,333 billion in 2016. This number is up 13.53% from Rp102,470 billion in 2015. Telkom Indonesia’s latest annual report showed that its total profit for the year 2016 amounted to Rp29,172 billion, which represented an increase of 25.11% over total profit for the year recorded in 2015 of Rp23,317 billion.
To assist in the growth and expansion of the company, PT Telekomunikasi Indonesia Tbk is looking for talented people and the best candidates to join as positions below:
- Junior Data Scientist - Big Data (JDS) - 10 persons
- Data Scientist - Big Data (DS) - 10 persons
- Senior Data Scientist - Big Data (JDS) - 10 persons
- Strong background in statistical concepts and calculations.
- Technical experience in handling real data
- Minimum 5 years for senior data scientist
- Minimum 3 years for data scientist.
- Innovate and strong analytical and algorithmic problem solvers.
- Experience with scripting languages (e.g. Phyton, Ruby, Perl, Bash) for orchestration and data manipulation and statistical computing tools like R, SAS and SPSS.
- Technical experience in data engineering, including SQL and experience manipulating stuctured and unstructured data source for analytics.
- Demonstrated good communication skill and have good language both written and oral English.
- The candidates with prior experience with MapReduce/Hadoop and related technologies (e.g.n Pig, Hive, Cascading) is preferred.
- Preferable have familiarity with Amazon Web Services and Elastic MapReduce a plus.
- Preferable have familiarity with Hadoop based commercial packages (e.g. Cloudera, Hartinworks).
- The candidates with prior experience in text mining/NLP is preferred.
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