Lowongan Kerja Jakarta Raya Posisi Data Scientist di PT Kamoro Maxima Integra

Info Loker

Perusahaan	PT Kamoro Maxima Integra
Posisi	Data Scientist
Tempat	Jakarta Raya
Tingkatan Kerja	Pegawai (non-manajemen & non-supervisor)
Kualifikasi	Diploma Pascasarjana, Gelar Professional, Magister (S2), Sarjana (S1)
Jenis Pekerjaan	Full Time
Spesialisasi Dibutuhkan	IT-Perangkat Lunak, Komputer/Teknologi Informasi
Gaji Min	Rp. 1.800.000
Gaji Max	Rp. 5.500.000

Role and Responsibilities

• Contribute to the deployment of ensemble machine learning methods, deep learning, and advanced optimization techniques to drill into our toughest challenges

• Leverage sharp research skills to test hypotheses and draw insights to support our goal of industry-leading, resource-efficient copper mining

• Utilize modern cloud technologies, such as Microsoft Azure, to deliver innovative analytics solutions at scale and visualize their impact for leadership

• Actively support the build, implementation, and maintenance of practical, analytical assets that effectively solve business problems using statistical methodologies

Requirements:

• Must be willing to travel. Travel required up to 50%; most of the travel goes to mining site.

• Proficient in English (verbal and written)

• Minimum Bachelor’s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline.

• Minimum 4-5 years of experience as Data Scientist

• Proven ability to manage, mentor, and grow a high-performing team of data scientists.

• Strong expertise in: Predictive modeling (Linear/Logistic Regression, Random Forest, Gradient Boosting, etc.), Time-Series Analysis, NLP, Anomaly Detection, Survival Analysis.

• Strong expertise in R and/or Python for data analysis and modeling.

• Strong expertise in SQL/Hive environments and big data platforms.

• Hands-on experience with cloud-based machine learning tools (preferably Azure).

• A strategic thinker who can turn data into actionable insights that drive business decisions.

You should have the following attributes:

• You are an analytics professional who enjoys grappling with vast data sets, tapped from our long-standing investment in collecting and cleaning data.

• You are a quantitative enthusiast who can build complex predictive models and unlock their value through Python, R, SQL and/or other rigorous analytical environments.

• You are a tested researcher with a background in breaking down problem statements into their root causes and tailoring solutions based off of your findings.

• You have a proven track record of collaborating with business partners to translate operational problems and needs into data-based analytical solutions.

• Strong oral and written communication skills in English language.

Work Environment

• Position is in a busy, non-smoking office located in Jakarta.

• Occasionally work will be performed in a mine, outdoor or manufacturing plant setting.

• Must be able to work in a potentially stressful environment.

 

Why join Us?

• You will be assigned full time and become part of our team at one of the world’s biggest mining company.

• Working from home during Covid-19 pandemic whenever possible.

• We offer very attractive salary and outstanding benefits.

• Most of our clients are multinational company which you will be exposed to a large IT environment and valuable experience in international scale projects.

• You will always learn new things as our projects always adopt latest technology and best practice available in the market.

• Last but not least, we offer a supportive and encouraging environment that puts the emphasis on teamwork. Here, your soft skill (professional relationships, character, attitude) will grow as fast as your technical skill

Lamar kerja

Deskripsi Perusahaan

Info Perusahaan

• Industri: Komputer/Teknik Informatika (Perangkat Lunak)
• Ukuran Perusahaan: 51 - 200 pekerja
• Tunjangan dan Lain-lain: Asuransi Gigi, Tip, Asuransi kesehatan, Pinjaman, Penglihatan, Waktu regular, Senin - Jumat, Bisnis (contoh: Kemeja), Working from home (during Covid-19)