Senior Data Scientist

PT Home Credit Indonesia; Jakarta Selatan; On-site; IDR 240,000,000 - 360,000,000; Full time

Benefits offered by this job

Medical Parking Bonus for all candiate

Dental for corporate can

Job summary

PT Home Credit Indonesia is seeking a data science professional to work with large data sets, delivering modelling, advanced analytics, and automation support with a focus on Big Data and Scoring. You will build machine learning models, monitor results for internal departments and partners, deploy predictors in a Real Time Decision Engine (Python based), and share expertise across the team.

A minimum of 3 years in a modelling/data science role, a degree in a quantitative field, and strong

Qualifications

• Bachelor's or Master's degree in Statistics, IT, Applied Mathematics, Physics, Engineering or equivalent and/or quantitative fields
• Minimum 3 years in a modelling/data science team
• Proficient with Python for data science (scikit-learn, xgboost, lgbm, etc.), PySpark, Power BI, Apache Airflow, Git, and SQL queries
• Solid understanding of predictive modeling using both statistical (classical) and machine learning models
• Familiar with risk credit scoring, NLP, and Hadoop ecosystem will be an advantage
• Adaptable to work in a dynamic and agile environment
• Excellent communication in English, both written and spoken

Responsibilities

• Build machine learning models and monitor results for various internal departments and external partners
• Deploy predictors or machine learning models in Real Time Decision Engine (Python based)
• Knowledge sharing with teammates and act as expert consultant for Big Data and Scoring

Skills

Machine learning

Statistical modeling

Big data concepts

Communication in English

Education

Bachelor's or Master's degree in Statistics, IT, Applied Mathematics, Physics, Engineering or equivalent (quantitative fields)

Tools

Python

PySpark

Power BI

Apache Airflow

Git

SQL

scikit-learn

xgboost

lightgbm

Job description

In this role, you will work with large amount of data and information and provide other departments with modelling, advance analytics, and automation support with focus on Big Data and Scoring.

Key responsibilities

• Build machine learning model and monitor the result for various internal departments and external partners.
• Deploy predictors or machine learning model in Real Time Decision Engine (Python based).
• Knowledge sharing with teammates and be expert consultant for assigned area of knowledge. The assigned area will be connected to Big data and Scoring.

We welcome talents with these qualities

• Bachelor's or Master's degree, majoring in Statistics, IT, Applied Mathematics, Physics, Engineering or equivalent and/or quantitative fields (eg. algebra, probability theory, operational research, machine learning).
• Minimum 3 years in a modelling/data science team.
• Proficient with Python for data science (scikit-learn, xgboost, lgbm, etc.), PySpark, Power BI, Apache Airflow, Git, and SQL queries.
• Have a solid understanding of predictive model using both statistical (classical) and machine learning models.
• Familiar with risk credit scoring, NLP, and hadoop ecosystem will be an advantage.
• Adaptable to work in a dynamic and agile environment.
• Excellent communication in English, both written and spoken.

PT Home Credit Indonesia ("Home Credit") is a technology-based financing company licensed and supervised by the Indonesian Financial Services Authority (Otoritas Jasa Keuangan/OJK), conducting its financing business activities in accordance with the applicable laws and regulations in Indonesia.

Since 2013, we has served more than 6.9 million customers, through point-of-sale financing, cash loans, and other financing solutions, all provided in a responsible and transparent manner.

Our services are accessible through more than 23,000 points of sale located in shopping centers and locations across more than 270 cities in Indonesia.

Perks and benefits

• Medical Parking Bonus for all candidate
• Dental for corporate can