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| Telkom Indonesia / telkom.co.id |
Domiciled in Bandung West Java, PT Telkom Indonesia (Persero) Tbk is a public listed company and its shares are traded under reference code IDX: TLKM, NYSE: TLK. At present, the Government of Indonesia is the majority shareholder in Telkom Indonesia with 52.09% shares which represented by the Minister of State-Owned Enterprises (SOE). The other 47.91% remaining shares were owned by general public and investors. Telkom Indonesia's head office is registered at Graha Merah Putih Jl Japati No 1 Bandung. Telkom Indonesia now has 7 regional division offices and these regions gave Telkom Group a total of 60 telecommunication areas and 535 Plasa Telkom Outlets spread across Indonesia. Telkom Indonesia also supported by 11 directly-owned subsidiary companies; PT Telekomunikasi Selular (Telkomsel), PT Telkom Akses, PT Graha Sarana Duta, PT Patra Telekomunikasi Indonesia (Patrakom), PT Multimedia Nusantara (Telkom Metra), PT Dayamitra Telekomunikasi (Mitratel), PT Jalin Pembayaran Nusantara (Jalin), PT Telekomunikasi Indonesia International (Telin), PT Metranet (Metranet), PT Infrastruktur Telekomunikasi Indonesia (Telkom Infra), PT PINS Indonesia (PINS).
According to information found in PT Telkom Indonesia (Persero) Tbk Annual Report 2017 as quoted by JobsCDC.com, Telkom Indonesia’s performance in 2017 improved over the previous year. Telkom Indonesia managed to record total revenue of Rp128,256 billion in 2017. This number is up 10.24% year-on-year (YOY) from Rp116,333 billion in 2016. Telkom Indonesia's total profit in 2017 experienced growth of 12.09% YOY to Rp32,701 billion from Rp29,172 billion in 2016 in the previous year.
As part of the Company's business expansion, PT Telkom Indonesia (Persero) Tbk seeks extraordinarily talented individuals to join as positions below:
Data Scientist
Requirements
- Successful candidates must -
- Have 3 years of hands-on experience in the exploitation of data and the use of advanced statistical and modeling techniques to understand and improve business performance in at least one major industry vertical;
- Be a clear, confident and persuasive communicator, with excellent presentation skills and with the ability to structure a coherent, logical argument and the confidence to defend assumptions, projections, and recommendations;
- Demonstrate a keen interest in, and fair understanding of, big data technology and the business trends that are driving the adoption of this technology;
- Be proficient in the use of both written and spoken business English;
- Possess excellent analytical and problem-solving skills;
- Demonstrate excellent organizational and people skills, including the ability to work independently and appropriately prioritize between competing opportunities.
- Successful candidates will preferably -
- Have a background in business and/or technology consulting;
- Demonstrate a solid understanding of Computer Science, Mathematics, Statistics, Econometrics, Engineering, Artificial Intelligence;
- Capable to build robust end-to-end predictive models using the latest Machine Learning techniques and methodologies;
- Be familiar with both SQL and at least one of the following procedural programming languages C; C#; Java; Python; Perl; R;
- Experience with NodeJS, Python, Hadoop, and Spark;
- Have competencies or certification (e.g: CRM Analytics, Data Modeler, Data Strategist, Machine Learning, Video Analytics, Data Engineer, Growth Hacking, Deep Learning, NLP, Business Analytics, Project Management, Domain Expert, or Data Visualization) from trusted institutions recognized by professional organizations;
- Having knowledge about Big Data Technology;
- Having a very good understanding of statistics and machine learning;
- Fluent in English.
Requirements
- Demonstrate a solid understanding of Computer Science, Mathematics, Statistics, Econometrics, Engineering, Artificial Intelligence.
- Have 3 years hands-on experience applying machine learning techniques to solve real-world problem, and architecting, training and analyzing for at least one of the following applications: Object detection, Image segmentation, Sensor fusion, temporal fusion (tracking).
- Experience in one or more of the following areas: machine learning, recommendation systems, categorization, large-scale data mining or artificial intelligence, NLP, deep learning, computational genomic.
- Have certification from trusted institutions recognized by professional organizations.
- Experience with a deep learning framework such as TensorFlow or Caffe.
- Experience with a big data platform such as Hadoop and Spark.
- Experience with scripting languages such as Python or R, C++
- Experience with Node.JS, SQL and NoSQL database.
- Experience developing software as part of a team.
- Strong passion in mathemathic, statistic and programming.
- Excellent analytical, communication, and writing skills.
- Fluent in English.
For more information, please refer official source from Telkom Indonesia on following link below. If you see yourself as a potential candidate, please apply directly through the Telkom Indonesia recruitment portal with a link as follows https://rekrutmen.telkom.co.id. Closing date 2 November 2019. Your application will be treated confidentially and only shortlisted candidates will be followed up. (JobsCDC.com / Source)
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