Data Scientist, Product

At Lalamove, we believe in the power of community. Millions of drivers and customers use our technology every day to connect with one another and move things that matter. Delivery is what we do best and we ensure it is always fast and simple. Since 2013, we have tackled the logistics industry head on to find the most innovative solutions for the world’s delivery needs. We are full steam ahead to make Lalamove synonymous with delivery and on a mission to impact as many local communities we can. We have massively scaled our efforts across Asia and now have our sights on taking our best in class technology to the rest of the world. And we are looking for talented professionals to join us in this journey!!
The Data Science Product team is looking for a Data Scientist to join a growing team of data scientists and machine learning engineers to support different functional departments in the headquarters, as well as our offices around the Globe.
You will be responsible for designing and modeling data-driven solutions used for making our products, services and operations intelligent. You will work on variety of challenges including Order Allocation, OCR, Dynamic Pricing, Fraud Detection, Vehicle Routing and many others you will help identify and resolve. The ideal candidate will have a passion for generating value out of data.

What we seek:

• Quick learner: you enjoy analyzing data, and you have the ability to learn new methods and technologies quickly
• Problem solver: you have strong critical thinking skills, willing to find creative solutions to difficult problems and work smart before hard
• High autonomy: self-organized, initiator, passionate with a can-do attitude and own end-to-end projects
• Team player: you go the extra mile to ensure success and alignment of all parties involved
• Communicative: you effectively interpret insights in simple terms to inspire actions and influence the strategy of stakeholders

What you'll need:

• 2+ years of experience as a data scientist
• Educational background in statistics, computer science, other applied sciences or understanding of data science theory
• You have hands-on experience designing and building machine learning models and workflows
• Experience with machine learning frameworks and libraries (e.g. Sklearn, H2O, XGBoost, TensorFlow, Theano, Keras)
• Proficiency in SQL and Python
• Experience with ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) is a plus
• Experience with AWS (SageMaker, S3, Redshift, Lambda) and distributed computing systems (e.g. Spark) is a plus
• Experience deploying ML models in production is a plus
• Comfortable with Linux and Git commands
• Good command of English