Data Scientist - Automation

DANA Indonesia; Pondok Pinang; On-site; IDR 300,000,000 - 420,000,000; Full time

Job summary

DANA Indonesia in Pondok Pinang, Indonesia, is seeking a Data Scientist to design and implement ML models, perform data analysis, and collaborate with product and engineering teams to drive data-driven decisions.

The role requires strong programming skills, NLP experience, and a data-oriented mindset to improve analytics and reporting across the company.

Qualifications

• Master’s Degree in Machine Learning, Computer Science, Statistics, Applied Math or related field.
• 3+ years’ practical experience as a Data Scientist.
• Strong problem-solving skills with an emphasis on product development.
• Practical NLP, clustering and decision tree model development experience.
• Experience using statistical software packages (Python, R, SAS, SSRS) and understanding of Tableau Analytic Tools.
• Excellent programming skills.
• Able to understand various data structures and common methods in data transformation.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Merging different data sources and reformatting or processing the data using ETL tools
• Research and develop statistical learning models for data analysis
• Collaborate with product management and engineering departments to understand company needs and devise possible solutions
• Enhancing data collection procedures to include information that is relevant for building our analytical systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Keep up-to-date with the latest technology trends
• Communicate results and ideas to key decision-makers

Skills

NLP

Clustering

Decision trees

Programming

Communication

Self-starter

Data transformation

Education

Master’s Degree in Machine Learning, CS, Statistics, Applied Math or related field

Tools

Python

R

SAS

SSRS

Tableau

ETL tools

Job description

• Selecting features, building and optimizing classifiers using machine learning techniques
• Merging different data sources and reformatting or processing the data using ETL tools
• Research and develop statistical learning models for data analysis
• Collaborate with product management and engineering departments to understand company needs and devise possible solutions
• Enhancing data collection procedures to include information that is relevant for building our analytical systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Keep up-to-date with the latest technology trends
• Communicate results and ideas to key decision-makers

Other Requirements:

• Master’s Degree in Machine Learning, Computer Science, Statistics, Applied Math or related field
• 3+ years’ practical experience as a Data Scientist
• Strong problem-solving skills with an emphasis on product development
• Practical NLP, clustering and decision tree model development experience
• Experience using statistical software packages (Python, R, SAS, SSRS) and understanding of Tableau Analytic Tools
• Excellent programming skills
• Able to understand various data structures and common methods in data transformation
• Data-oriented personality
• Great communication skills
• And very importantly, a self-starter mindset