Automation Data Scientist
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.