Rabu, Desember 4, 2024
BerandaBUMNLowongan Kerja PT Telkom Indonesia (Persero) Tbk

Lowongan Kerja

Lowongan Kerja PT Telkom Indonesia (Persero) Tbk

Lowongan Kerja PT Telkom Indonesia (Persero) Tbk. PT Telkom Indonesia (Persero) Tbk (Telkom) adalah Badan Usaha Milik Negara (BUMN) yang bergerak di bidang jasa layanan teknologi informasi dan komunikasi (TIK) dan jaringan telekomunikasi di Indonesia. Pemegang saham mayoritas Telkom adalah Pemerintah Republik Indonesia sebesar 52.09%, sedangkan 47.91% sisanya dikuasai oleh publik.

Informasi lowongan kerja menjadi salah satu informasi penting bagi para pencari kerja, serta bagi perusahaan. Gokerja.id sebagai salah satu portal online yang berfokus pada media informasi seputar lowongan pekerjaan di Indonesia. Gokerja.id hadir dengan tujuan menjadi salah satu media informasi yang terpercaya untuk mempermudah Jobseker mendapat informasi pekerjaan & untuk mempercepat rekruiter mendapatkan kadidat yang sesuai.

Buat kalian para jobseker sebelum melamar baiknya baca dengan baik informasi lowongan kerja yang ada, pahami isinya dan pastikan kalian sesuai dengan kualifikasi yang dibutuhkan. Jangan lupa pula untuk mengikuti tata cara pendaftaran yang telah di tentukan oleh rekruter. Tahapan melamar kerja umumnya ada 3 : Pendaftaran (CV dan kelengkapan sesuai kualifikasi), Seleksi Tes (), dan Tahap akhir . di kelas karir, semua hal, Psikotes dan kunci jawaban interview bisa kalian pelajari didan bisa di order dengan .

Lowongan Kerja PT Telkom Indonesia (Persero) Tbk

Berikut ini adalah informasi lowongan kerja dari Telkom Indonesia , baca dengan baik posisi dan kualifikasi serta tata cara pendaftarannya.


1. Digital Product Manager

Job Description

  • Lead the product strategy.
  • Define product vision, strategy, and roadmap based on business objectives and user requirements.
  • Working closely with all teams to refine and reprioritize the product backlog.
  • Be the voice of the Customer.
  • Be the primary point of contact for users, customers, and stakeholders within the overall journey of the products.
  • Share insights from the understanding of user personas, pain points & customer journeys.
  • Gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth.
  • Lead the product execution.
  • Manage end-to-end product lifecycle from ideation, managing backlog, development, and go-to-market strategy.
  • Streamline the product development process and organization structure.
  • Monitoring and evaluating key product metrics.
  • Great communicator.
  • Engage and communicate with stakeholders effectively.
  • Collaborate with a cross-functional team such as analytics, data science, engineering, operations, product & business to ensure a seamless product development.

Requirements :

  • Degree of Any Major, Computer Science and Business / Management is preferred/li>
  • Minimum 5 years proven experience in Digital Product Management and Development
  • Excellent problem-solving skills.
  • Excellent organizational, leadership, and communication skills with experience leading cross-functional teams.
  • Experienced in managing end-to-end product development lifecycle.
  • Experienced in designing, writing, prioritizing, and communicating PRD to all relevant stakeholders.
  • Familiar with collaboration tools (Miro, JIRA, Trello, etc.) and monitoring tools (Firebase, Google Analytics, AppsAnnie, etc).

2. Artificial Intelligence

Artificial Intelligence (AI) is doing computer activities with artificial intelligence designed to include speech recognition, learning, planning, and problem-solving. in Artificial Intelligence several capabilities are developed, among others: Deep learning or known as the deep neural network is one aspect of AI that focuses on imitation of learning that humans use to get certain types of knowledge.

  • Work with business, engineering, and product teams to form an understanding of the requirements and processes of existing systems. Create deep learning and machine learning algorithms that can be applied to address business needs and provide business insights.
  • Apply advanced deep learning and machine learning techniques to form a deep understanding of customer behavior and products. Create decision-support and decision-making systems based on such learning results to improve business efficiency.
  • Participate in cutting-edge research in artificial intelligence (i.e), deep learning and machine learning algorithms and applications.
  • Define and drive a technical vision and strategies to integrate deep learning and machine learning algorithms into the existing production system and business decision making processes.

Requirement:

  • Demonstrate a solid understanding of Computer Science, Mathematics, Statistics, Econometrics, Engineering, Artificial Intelligence.
  • Minimum bachelor degree, open to Indonesian Citizens (WNI) and Foreign Citizens
  • 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 deep learning framework (keras tensorflow, pytorch, caffee,etc)
  • 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.
  • Can work as a team, and friendly to communicate

3. Data Analyst

Possess capability to analyse data using statistic, descriptive, predictive, prescriptive, or specific information technology and capability in identifying certain correlation and interpretation patterns contained in the said data. This identification result will produce valuable information especially for organization.

  • Conduct Exploratory Data Analyst to product and program development
  • Conduct assessment to DNA objective analysis data needs based on issues, in which can be measured, clear and concise.
  • Ensure data is ready to use, including choose, cleanse, and conduct visualisation and present data analysis result.
  • Produce interpretation and analysis result presentation as actionable recommendation insight in form of story telling presented in clear, interesting, and concise manner.
  • Understand audience / stakeholders including clear goals and target, also accommodating received feedback
  • Working together with data team consist of Data Scientist, Data Engineer etc.

4. Data Scientist

Data Scientist is a capability that will process data from data collection, data validation, modeling, to visualization. Capability includes data engineers who are tasked with preparing data for analysis of data that is useful for operations.

  • Understand the data in order to create a model
  • Prepare, select and display data according to the implemented use case
  • Perform data validation to achieve analysis results are as expected
  • Manage infrastructure and architectural data
  • Develop a dataset process for modeling, data mining, and production
  • Increase data reliability, efficiency, and quality
  • Develop pipeline infrastructure data
  • Developing data management solutions

Requirement :

  • Demonstrate a solid understanding of Computer Science, Mathematics, Statistics, Econometrics, Engineering, Artificial Intelligence.
  • Minimum bachelor degree, open to Indonesian Citizens (WNI) and Foreign Citizens
  • 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 deep learning framework (keras tensorflow, pytorch, caffee,etc)
  • 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.
  • Can work as a team, and friendly to communicate

Baca Juga Lowongan Kerja S1 lainnya

Tata Cara Pendaftaran:
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