Automation Data Scientist

Dana Indonesia; Daerah Khusus Ibukota Jakarta; On-site; IDR 752.508.000 - 1.086.957.000; Full time

Job summary

A leading fintech company in Indonesia is looking for an Automation Data Scientist. In this role, you will design, implement, and optimize machine-learning models while collaborating closely with cross-functional teams to drive product innovation. Candidates should have 2+ years of experience and strong Python programming skills. This position offers a dynamic work environment focused on innovation and continuous learning.

Qualifications

• 2+ years of practical experience as a Data Scientist.
• Excellent programming skills in Python, adhering to software engineering best practices.
• Hands-on experience with data-science and machine-learning libraries.

Responsibilities

• Designing and optimizing predictive and generative models.
• Developing and maintaining machine-learning models in production.
• Collaborating with cross-functional teams to translate business problems.

Skills

Problem-solving

Machine learning

Natural Language Processing (NLP)

Data analysis

Programming in Python

Tools

TensorFlow

PyTorch

scikit-learn

MLflow

Airflow

Spark

Job description

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.

What We're Looking For

Automation Data Scientist

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.