Ninja Van is a late-stage logtech startup that is disrupting a massive industry with innovation and cutting edge technology. Launched 2014 in Singapore, we have grown rapidly to become one of Southeast Asia's largest and fastest-growing express logistics companies. Since our inception, we’ve delivered to 100 million different customers across the region with added predictability, flexibility and convenience. Join us in our mission to connect shippers and shoppers across Southeast Asia to a world of new possibilities.
More about us:
- We process 250 million API requests and 3TB of data every day.
- We deliver more than 2 million parcels every day.
- 100% network coverage with 2600+ hubs and stations in 6 SEA markets (Singapore, Malaysia, Indonesia, Thailand, Vietnam and Philippines), reaching 500 million consumers.
- 2 Million active shippers in all e-commerce segments, from the largest marketplaces to the individual social commerce sellers.
- Raised more than US$500 million over five rounds.
We are looking for world-class talent to join our crack team of engineers, product managers and designers. We want people who are passionate about creating software that makes a difference to the world. We like people who are brimming with ideas and who take initiative rather than wait to be told what to do. We prize team-first mentality, personal responsibility and tenacity to solve hard problems and meet deadlines. As part of a small and lean team, you will have a very direct impact on the success of the company.
Roles and Responsibilities
- Communicate and collaborate with business stakeholders to identify opportunities to leverage on data assets for the organisation.
- Develop data products centered on machine learning / artificial intelligence to support business and operational needs, impacting growth.
- Work with engineering and product teams to drive productionisation of data products creating value to our stakeholders.
- Accelerate growth of our research arm, to build a world-class data organisation focused on rapid experimentation and discovery.
- Design and develop scalable and performant ETL pipelines to prototype and operationalize data science and data analytics use cases.
Requirements
- Proficiency in at least one data analysis language (Python / R) and strong in fundamentals of machine learning libraries.
- Deep knowledge in statistics, probability and foundational machine learning.
- Strong communication skills in writing and presentation.
- While we use SQL, Python (and their libraries) in our daily work, we welcome new ideas from you to further develop our toolset.
Tech Stack
Backend: Play (Java 8+), Golang,
Node.js, Python, FastAPI
Frontend: AngularJS, ReactJS
Mobile: Android, Flutter, React Native
Cache: Hazelcast, Redis
Data storage: MySQL, TiDB, Elasticsearch, Delta Lake
Infrastructure monitoring: Prometheus, Grafana
Orchestrator: Kubernetes
Containerization: Docker, Containerd
Cloud Provider: GCP, AWS
Data pipelines: Apache Kafka, Spark Streaming, Maxwell/Debezium, PySpark, TiCDC
Workflow manager: Apache Airflow
Query engines: Apache Spark, Trino
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