6 months ago
My client is a leading global on-demand delivery platform with millions of delivery partners serving millions of orders everyday, If you are looking for a fasting growing, fun, dynamic and work life balance working environment you are on the right track!
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.
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
5+ 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
If this role is of interest to you, or if you are interested in exploring other opportunities within the market, you are welcome to reach out directly to: email@example.com or +852 27776467 for further discussion.