[LI] Automation Data Scientist

Dana Indonesia; Jakarta Selatan; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading digital wallet platform in Indonesia is looking for an experienced Automation Data Scientist. The role involves designing and optimizing machine-learning models, collaborating with cross-functional teams, and contributing to data-driven decisions. Candidates should have a strong programming background in Python and experience with NLP and large language models. Join the team to make an impact on Indonesia's financial ecosystem!

Qualifications

• 2+ years of practical experience as a Data Scientist.
• Excellent programming skills in Python with clean code.
• Experience with NLP, large language models, and machine learning libraries.

Responsibilities

• Design and optimize predictive models using state-of-the-art techniques.
• Deploy and maintain ML models in production environments.
• Collaborate with teams to translate business problems into data-science solutions.

Skills

Problem-solving skills

Python programming

NLP expertise

Statistical analysis

Machine learning techniques

Tools

TensorFlow

PyTorch

Scikit-learn

MLflow

Airflow

Spark

Job description

Overview

About DANA

DANA is a leading Indonesian digital wallet platform committed to making every transaction simple, secure, and accessible. As a homegrown fintech company, we serve millions across Indonesia with cashless solutions—from payments and transfers to investments. We aim to build a trusted and inclusive financial ecosystem, driven by innovation, collaboration, and continuous learning. Join us and be part of Indonesia’s digital transformation journey!

What We’re Looking For

Automation Data Scientist

We require a Data Scientist to help us automate the process discovery cycle, to empower us to make data driven prioritization decisions in regards to the automation projects and build a process performance monitoring system once the automation has been delivered to production.

What You Will Do

• Designing, selecting, and engineering features, and building, evaluating, and optimizing predictive and generative models using state‑of‑the‑art machine‑learning techniques.
• Developing, deploying, and maintaining machine‑learning models and pipelines in production environments, ensuring scalability, reliability, and low latency.
• Monitoring model performance, detecting drift, and implementing automated retraining and governance strategies.
• Researching and prototyping advanced statistical and machine‑learning methods to generate actionable insights and drive product innovation.
• Collaborating with cross‑functional teams (product, engineering, design, business) to translate business problems into data‑science solutions with measurable impact.
• Communicating complex technical results and insights to technical and non‑technical stakeholders.
• Keeping up to date with the latest technology trends in data science, machine learning, and large language models, and actively pursuing continuous learning opportunities.

What You Will Need

• 2+ years of practical experience as a Data Scientist.
• Strong problem‑solving skills with an emphasis on product development and delivery.
• Practical experience with NLP, large language models (LLMs), computer vision, multimodal modeling, clustering, and decision‑tree algorithms.
• Hands‑on experience with data‑science and machine‑learning libraries and frameworks such as Python (pandas, NumPy, scikit‑learn, TensorFlow, PyTorch) and related tooling (MLflow, Airflow, Spark) for experimentation and productionization.
• Excellent programming skills in Python, including writing clean, modular, well‑documented code, adhering to software‑engineering best practices (Git version control, unit testing, code reviews, and CI/CD pipelines).
• Ability to understand various data structures and common methods in data transformation and analysis.
• Data‑oriented personality with a passion for empirical, evidence‑based decision‑making.
• Great written and verbal communication skills, capable of translating complex analyses into clear business recommendations.
• A self‑starter mindset, able to work independently while proactively collaborating with cross‑functional teams.

Ready to Apply?

If you\'re passionate about innovation and eager to make an impact, we’d love to hear from you. Apply now and grow with us at DANA.