JOB EXPIRED Lowongan Kerja

Superintendent – Data Science

PT Kaltim Prima Coal (KPC)
PT Kaltim Prima Coal KPC

PT Kaltim Prima Coal (KPC) adalah salah satu perusahaan tambang batu bara terbesar di Indonesia. Perusahaan ini beroperasi di wilayah Sangatta, Kabupaten Kutai Timur, Kalimantan Timur. KPC adalah bagian dari BUMI Resources, salah satu perusahaan tambang batu bara terbesar di Indonesia.

KPC didirikan pada tahun 1982 sebagai usaha patungan antara BP (British Petroleum) dan Rio Tinto. Operasi pertambangan dimulai pada tahun 1990 dan sejak itu telah menjadi salah satu produsen batu bara terkemuka di Indonesia.

Wilayah operasional KPC terletak di Sangatta, Kabupaten Kutai Timur, Kalimantan Timur. Perusahaan ini memiliki izin untuk mengeksplorasi dan menghasilkan batu bara dengan luas wilayah cukup besar.

PT Kaltim Prima Coal telah secara konsisten menghasilkan jutaan ton batu bara setiap tahunnya. Batu bara yang dihasilkan digunakan untuk keperluan industri energi baik dalam negeri maupun diekspor ke berbagai negara.

Sebagai perusahaan tambang batu bara terkemuka, KPC memiliki peran penting dalam industri energi Indonesia. Namun, keberadaan perusahaan ini juga terus menjadi fokus dari berbagai diskusi dan perdebatan mengenai dampak lingkungan dan sosial dari kegiatan pertambangan.

Alamat Perusahaan

M1 Building Mine Site
Sangatta, Kutai Timur
Kalimantan Timur

Website: kpc.co.id
Instagram: kaltimprimacoal
Twitter: kaltimprimacoal
Telepon: +62 549 52 1155

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Diposting7 bulan yang lalu
PendidikanD3/S1
Tipe PekerjaanFull Time
Pengalaman---
Lokasi KerjaKalimantan
Info GajiKompetitif
Deadline 8 November 2023

Lowongan kerja Superintendent – Data Science PT Kaltim Prima Coal (KPC) penempatan kerja di Kalimantan, berikut informasi selengkapnya :

Grade: F
Division: CFO

Key element of the position include:

  • Lead the development and implementation of the company group data science strategy, including the use of predictive analytics, delivering insights, and driving strategic growth.
  • Build and develop the best team of data scientists and machine learning engineers.
  • Define and cultivate best practices in analytics instrumentation and experimentation.
  • Develop and implsment best practioes for data analysis and modeling, ensuring that we are using cutting-edge technigues to derive insighis from complex data sets.
  • Collaborate with senior leaders and crossfunctionat teams within the groups in problem framing and conception of ideas to develop consensus and execute the machine learning use cases.
  • Lead and build machine learning models through all phases of development from design, testing, data gathering, training, evaluation, validation, governance, and implementation.
  • Maintain the heaith of machine Isarning systems, including speed, model accuracy, reliability. and performance.
  • Champion effort to design and implement strategic fan growth initiatives such as models for lifetime value forecasting, subscriber lapse propensity, lead scoring, season:ticket member retention, and media mix modeling.
  • Measure outcomes and translate analytical insights into recommendations that are clearty linked to the organization’s strategy and goals.
  • Take an active innovation rols in the company group by identifying nsw business processes that could benefit from Data Science support.

Qualifications:

  • Master Degres in Computer Science, Statistics, Data Science, or relevant analytics field with minimum 8 years experience in data science.
  • Fast learner business processes, especially the mining industry.
  • Deep hands-on experience in machine leaming, relational databases, and open-source programming languages (Python, R) for large-scate data analysis.
  • Deep hands-on in database sets and engines, e.g. POSTGRE, SAP HANA, ORACLE, MS SQL, and HADOOP.
  • Proficient in project management concepts such as waterfall, agila, and Lean.
  • Proven track record of delivering business value through analytical models.
  • Experience in developing advanced data scienog and machine learning infrastructure and systems.
  • Strong knowiedge of data science technotogies and machine Isaming concepts and experience in developing models from research, to a proof of concept. to a production pipeline.
  • Deep understanding of working in cloud and hybrid environments, e.g., GCP, AWS, AZURE.
  • Excellent communication with prior experience coordinating multiple stakeholder groups.
  • Passion for continuous improvement.
  • A cultural leader who can infuse the culture of creativity and innovation.

Lihat info :

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