Lowongan Kerja Jakarta Barat Posisi Data Scientist di PT Mega Central Finance

Info Loker

Perusahaan	PT Mega Central Finance
Posisi	Data Scientist
Tempat	Jakarta Barat
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

 Qualifications:

• Minimum Bachelor’s Degree majoring in Information Technology, Computer Science, Software Engineering, or related IT fields
• At least 2 years of working experience in the related fields is required for this position
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc
• Experience querying databases and using statistical computer languages: R, Python, SQL, etc
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
• Familiar with at least one programming language such as Phyton, Java, JavaScript

Job Descriptions:

• Responsible for the construction of various risk scoring models, establishing credit business credit scoring models, customer credit models and other data models
• Responsible for the design, development and implementation of the model, including not limited to applying for score cards, anti-fraud scores, and collection score cards
• Processing, cleansing and verifying the integrity of structured and unstructured data for analysis
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes

Lamar kerja

Deskripsi Perusahaan

Info Perusahaan

• Industri: Perbankan/Pelayanan Keuangan
• Ukuran Perusahaan: 2001 - 5000 pekerja
• Waktu Proses Lamaran: 26 hari
• Tunjangan dan Lain-lain: Asuransi kesehatan, Parkir, Formil (contoh: Kemeja + Dasi), Head Office: Senin - Jumat