About Us
Asia Digital Engineering (ADE) is transforming aircraft maintenance through data and innovation. As a wholly-owned subsidiary of Capital A Berhad, we're building the future of MRO by combining AirAsia Group Engineering's expertise with cutting-edge data science and technology.
We're seeking a Data Scientist II to join our team in developing data products and AI solutions that directly impact aircraft safety, operational efficiency, and maintenance optimization. You'll work with diverse datasets from Airbus A320, A321 & A330 fleet operations to uncover insights that shape how modern aircraft are maintained and serviced
.
This role offers the opportunity to apply data science in a high-stakes, highly regulated industry where your models and analyses directly contribute to aviation safety and operational excellenc
e.
Responsibiliti
- es:Conduct exploratory data analysis (EDA) to uncover patterns, anomalies, and trends in aircraft operational and maintenance da
- ta.Design and maintain robust ETL pipelines that ensure data freshness, completeness, and integrity across multiple aviation data sourc
- es.Build end-to-end data products from development through deployment, including monitoring and ensuring system reliability in producti
- on.Develop and implement machine learning models (regression, classification, clustering) to predict maintenance needs and optimize operatio
- ns.Leverage Large Language Models (LLMs) to enhance data products through automated feature extraction, data enrichment, and intelligent information retrieval and decision maki
- ng.Create scalable data solutions that can handle real-time aircraft sensor data and maintenance lo
- gs.Deploy models and data pipelines to cloud infrastructure (GCP), implementing proper monitoring, alerting, and retraining workflo
- ws.Build intelligent automation systems that can process unstructured maintenance reports and technical documentati
- on.Ensure data product reliability through robust error handling, logging, and performance optimizati
- on.Create clear data visualizations and communicate insights to technical teams, engineers, and management stakeholde
- rs.Collaborate with aviation engineers and operations teams to understand requirements and translate them into scalable analytical solutio
- ns.Maintain production systems including troubleshooting issues, optimizing performance, and ensuring upti
- me.Participate in code reviews and maintain comprehensive documentation for reproducibility and complian
ce.
Experience and Qualificati
ons:Requi
- red:BS/MS in Computer Science, Statistics, Mathematics, Engineering, or related fi
- eld.2-4 years of hands-on experience in data science and/or data engineer
- ing.Strong proficiency in Python and SQL, with experience building production-grade code. (We embrace AI-assisted coding tools to enhance productivity, but believe they work best in the hands of engineers who deeply understand code structure, debugging, and system desi
- gn.)Solid foundation in statistics and machine learning concepts with practical implementation experie
- nce.Experience building and deploying data pipelines and ML models to production environme
- nts.Hands-on experience with cloud platforms (preferably GCP) including compute, storage, and ML servi
- ces.Experience with software engineering practices: version control (Git), CI/CD, testing, and monitor
- ing.Strong problem-solving skills with the ability to work independently on end-to-end soluti
- ons.Excellent communication skills to collaborate with technical and non-technical stakehold
ers.
Prefe
- rred:Experience with distributed computing and handling large-scale dat
- asetsFamiliarity with NoSQL or Graph data
- basesExperience in aviation, manufacturing, or other industrial d
- omainMandarin speaker will have an added adva
ntage
Areas of Speciali
zationWe work across these domains and welcome candidates with experience or strong interest in one or more of these
areas:
Data Engineering
- for MLBuilding scalable data pipelines. (A
- irflow)Working with streaming data and real-time processing. (Dataflow, P
- ub/Sub)Model serving and API development. (F
- astAPI)Data quality and monitoring fram
eworks.
Machine
- LearningClassical ML algorithms and frameworks. (scikit-learn, TensorFlow,
- PyTorch)Model evaluation, feature engineering, and dep
- loyment.Cloud-based ML services. (especia
lly GCP)
Modern AI & LLM App
- licationsBuilding applications with Large Languag
- e Models.RAG systems and vector d
- atabases.Prompt engineering, auto prompt optimizers (like DSPy) and LLM ev
- aluation.Experience with frameworks like Agents SDK or
similar.
Operation
- s ResearchOptimization problems in scheduling and resource a
- llocation.Experience with optimization tools (OR-Tools
- , Gurobi).Applied problem-solving in operational
contexts.