Data Mining Engineer

Talent Insider; Daerah Khusus Ibukota Jakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading HR consultancy in Jakarta seeks a Data Analyst to handle massive data processing and develop models. The ideal candidate has at least 1 year of experience in data mining and is proficient in machine learning and data analysis tools such as SQL and Python. This role demands strong analytical skills and the ability to thrive in a fast-paced environment.

Qualifications

• 1+ years of data mining-related work experience in the Internet industry.
• Proficient in machine learning applications and algorithms.
• Experience with databases and data analysis tools.

Responsibilities

• Responsible for massive data processing and analysis reports.
• Develop anti-fraud and credit models using massive data.
• Design data collection and build machine learning models.

Skills

Data mining

Machine learning principles

Logical analysis

Communication skills

Tools

SQL

Python

R

SAS

Hadoop

Spark

Job description

Talent Insider is an upcoming HR Consultancy Service, founded in 2021. Our clients have been some of the leading brands in Indonesia, and this service continues to expand.

Registered in Singapore & Indonesia, we can assist with your growth plans and strategies, and continue to expand our regional presence with strong regional partners to assist our client in recruitment and branding strategy.

Job Description

• Responsible For Massive Data Processing, Modeling, Analysis Reports
• Develop Anti-fraud&credit Models By Studying Massive Data, Such As Demographic Information, Credit Information, And Behavior Logs
• Design Data Collection And Integration Requirements, Build Machine Learning Models, Data Warehouses, And Data Marts

Requirement

• 1+ years of data mining-related work experience in the Internet industry; experience in risk management and modeling is preferred
• Be proficient in the basic principles and practical applications of machine learning, and have a good understanding of common algorithms-GBDT, XGBoost, RandomForest, logistic regression, etc., deep learning project experience is a plus
• Be familiar with databases and data analysis tools, and proficiently use SQL, Python, R, SAS, etc. for efficient data processing, mining, and analysis. Experience in big data platforms Hadoop and Spark projects is preferred
• Be good at logical analysis, communication, and expression. Be able to withstand the pressure of fast-paced work, and be willing to continuously learn new knowledge
• Experience in deep learning/classification