Machine Learning Scientist

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!
As a Machine Learning Scientist at Lalamove, you will be working at the intersection of data scientist and machine learning engineer, drawing meaningful insights from data sets using statistical tools, designing data modeling processes, as well as build, train and deploy machine learning models. We tackle a multitude of exciting challenges including order allocation, OCR, fraud detection, market-share computation, computer vision, and many others you will help identify and resolve. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we’re looking for someone like you!

What you'll do

• Partner with data engineers to manage data pipeline requirements as well as infrastructure and software engineers to bring models to production
• Build ML pipelines and move prototypes into large-scale production environment
• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
• Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, or other scripting and statistical tools
• Use statistical techniques and hypothesis testing to validate your findings Provide insights to help business and product leaders understand marketplace dynamics, user and driver behaviors

What you will need:

• 3+ years of work experience in implementing high availability production machine learning systems, industry level business intelligence, data analytics or data science experience
• Educational background in statistics, computer science, other applied sciences or understanding of data science theory
• Experience in applying visualization, statistical inference and other data mining techniques on variety of data
• Solid programming skills with Python and SQL
• Experience with machine learning frameworks and libraries (e.g. Sklearn, H2O, XGBoost, TensorFlow, Theano, Keras, Spark MLlib)Experience with ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions)Experience using Tableau or other BI Tools for reporting and analyses
• Experience with AWS services is a plus (e.g. Sagemaker, Rekognition, S3)
• Good command of English
• Nice to have: familiarity with Java and logistics domain knowledge