Senior Data Scientist

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

Job summary

Home Credit Indonesia is seeking a data science professional to turn large data sets into actionable insights. You will build and monitor machine learning models, deploy predictors in real-time decision systems, and support multiple internal teams with analytics and automation.

Requirements include a Bachelor's or Master's in quantitative fields, 3+ years in modelling, strong Python (scikit-learn, PySpark), SQL, Power BI, Airflow, Git, and data visualization tools; NLP a plus; excellent English

Qualifications

• Bachelor's or Master's in quantitative fields.
• Minimum 3 years in a modelling/data science team.
• Proficient with Python for data science and SQL queries.
• Experience with PySpark, Power BI, Apache Airflow, Git.
• Solid understanding of predictive modelling using statistical and ML methods.
• NLP knowledge and Hadoop ecosystem familiarity are a plus.
• Adaptable to a dynamic, agile environment.
• Excellent English communication (written and spoken).

Responsibilities

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

Skills

Python

PySpark

Power BI

Apache Airflow

Git

SQL

Education

Bachelor's or Master's degree in Statistics, IT, Applied Mathematics, Physics, Engineering or equivalent

Tools

Scikit-learn

XGBoost / LightGBM

Hadoop ecosystem

NLP (advantage)

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.