Who we're looking for
The Data Science Product (DSP) 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.
As a Data Scientist at Lalamove, you will be working at the intersection of data analysis and science, drawing meaningful insights from data sets using statistical tools as well as designing data modeling processes.
We tackle a multitude of exciting challenges including order allocation, OCR, fraud detection, 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 will be doing
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 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 work experience in a business intelligence, data analytics or data science role (fresh graduates also considered)
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 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
Good command of English 
