Senior Data Scientist

Home Credit Indonesia; Jakarta Pusat; On-site; IDR 390,600,000 - 669,600,000; Full time

Job summary

Home Credit Indonesia seeks a Data Scientist to drive big data analytics, modelling, and scoring. You will build machine learning models, monitor outcomes for internal teams and external partners, and deploy predictors in a Real Time Decision Engine using Python.

You will also share knowledge and serve as the expert consultant for Big Data and Scoring. The role requires strong Python, PySpark, SQL, and Power BI skills, plus excellent English communication, with at least 3 years in a

Qualifications

• Bachelor's or Master's degree in Statistics, IT, Applied Mathematics, Physics, Engineering or similar quantitative field.
• Minimum 3 years in a modelling/data science team.
• Excellent English communication, written and spoken.

Responsibilities

• Build machine learning models and monitor results for internal departments and external partners.
• Deploy predictors in Real Time Decision Engine (Python based).
• Share knowledge and act as expert consultant for Big data and Scoring domain.

Skills

Python

PySpark

Power BI

Airflow

Git

SQL

ML models

English

Education

Bachelor's or Master’s in quantitative field

Master’s preferred

Tools

Python (scikit-learn)

PySpark

Power BI

Apache Airflow

Git

SQL

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.