Applied Data Scientist — Real-World ML & Data Strategy

PT. Berca Hardayaperkasa; Jakarta Pusat; On-site; IDR 200,880,000 - 357,120,000; Full time

Job summary

PT. Berca Hardayaperkasa is seeking a data-focused ML engineer to design, train and deploy machine learning models using real-world data in Indonesia.

You will collaborate with data engineering, BI and business teams to identify data sources, build DataMart-like structures, and translate insights into concrete business improvements. Proficiency in Java and Python and experience with TensorFlow, Keras, Spark MLlib, Scikit-learn and Pandas are required, with willingness to be deployed at client

Qualifications

• Bachelor's degree in Technical Information / Information System / Industry Engineering or any major with minimum GPA 3.00 (on a scale of 4.00).
• Minimum +3 years experience in the same field.
• Willingness to be deployed/stationed at Client Sites located outside of Java Island for the duration of project assignments.
• Strong knowledge of Java and Python with hands-on ML frameworks.

Responsibilities

• Consolidate, verify, and analyze data from multiple sources to develop hypotheses and quick win use cases.
• Build data-driven insights and recommendations for business improvements.
• Develop and validate ML models with data wrangling, feature engineering, and model selection/architecture.
• Present model results concisely to stakeholders including risk and technical teams.
• Collaborate with business and tech teams to define data-driven strategies.

Skills

Java

Python

ML frameworks

TensorFlow

Keras

Spark MLlib

Scikit-learn

Pandas

Education

Bachelor's in Technical Information / Information System / Industry Engineering

Tools

Snowflake

Job description

PT. Berca Hardayaperkasa is seeking a data-focused ML engineer to design, train and deploy machine learning models using real-world data in Indonesia.

You will collaborate with data engineering, BI and business teams to identify data sources, build DataMart-like structures, and translate insights into concrete business improvements. Proficiency in Java and Python and experience with TensorFlow, Keras, Spark MLlib, Scikit-learn and Pandas are required, with willingness to be deployed at client