20,000,000 IDR ~ 40,000,000 IDR
- Jakarta- Education: Bachelor's degree or equivalent experience in a quantitive field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- Language: Fluent in English
- Experience: 5+ years of experience in quantitative analytics or data modeling
- Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms
- Proficient in SQL and experience working with statistical computer languages (R, Python, etc)
- Experience in machine learning frameworks (Scikit-Learn, Pandas, MlLib Spark, Tensorflow, etc)
**About work**????????**:
Provide data modeling, mining, pattern analysis, data visualization and Machine Learning/Deep Learning/Artificial Intelligence solutions
Design accurate and scalable prediction algorithms
Use advanced mathematical models, simulation models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions
Work with data engineers and data analysts to analyze, extract, normalize, and label relevant data
Collaborate with software engineering and IoT engineering team to bring analytical prototypes to production
Generate actionable insights for business improvements
**Salary**
20,000,000 IDR ~ 40,000,000 IDR
**Work Location**
Jakarta
**Requirement**
- Education: Bachelor's degree or equivalent experience in a quantitive field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- Language: Fluent in English
- Experience: 5+ years of experience in quantitative analytics or data modeling
- Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms
- Proficient in SQL and experience working with statistical computer languages (R, Python, etc)
- Experience in machine learning frameworks (Scikit-Learn, Pandas, MlLib Spark, Tensorflow, etc)
**English Level**
Business Level
**Other Language**
None
**Benefit**
THR (Lebaran Allowance)
BPJS: Ketenagakerjaan, Kesehatan
Transportation
Meal
Private Medical Insurance
Company Car