Senior Data Scientist

Home Credit Indonesia; Jakarta Pusat; On-site; IDR 300,000,000 - 450,000,000; Full time

Job summary

Home Credit Indonesia is seeking a data science professional to work with large datasets, build predictive models, and provide analytics support to multiple departments. The role emphasizes Big Data and Scoring, real-time model deployment in a Python-based decision engine, and proactive knowledge sharing within a dynamic agile team.

Ideal candidates hold a quantitative degree, minimum 3 years in modelling, and strong Python, PySpark, SQL skills, with familiarity in NLP and Hadoop ecosystems as a

Qualifications

• Bachelor's or Master's degree in quantitative fields.
• Minimum 3 years in a modelling/data science team.
• Proficient with Python for data science and SQL.
• Experience with PySpark, Power BI, Apache Airflow, Git and SQL.
• Knowledge of predictive models using statistical and ML approaches.
• Familiar with NLP and Hadoop ecosystem is a plus.
• Adaptable to a dynamic, agile environment.
• Excellent English communication skills.

Responsibilities

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

Skills

Python for data science

PySpark

Power BI

Apache Airflow

Git

SQL queries

Education

Bachelor's or Master's in Statistics, IT, Applied Mathematics, Physics, Engineering or quantitative fields

Tools

scikit-learn

xgboost

lgbm

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.