Senior Data ScientistSingapore
Life at Grab
At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.
Get to know our Team
In the Demand Data Science team you are at the core and center of Grab’s ride hailing and deliveries business. We are responsible for building DS models and serving them in production to support Grab’s Advertising and Marketing services.
Our primary goals are to help consumers discover the most attractive product, to enable the most efficient marketing campaigns for our merchants/advertisers to meet their business goals, and to build a sustainable business on our platform.
We apply machine learning, forecasting, recommendation and optimisation techniques to huge datasets in order to model how our consumers interact on our platform under different marketing strategies. We also continuously run large-scale live experiments to improve on our implementations.
Get to know the Role
Explore and extract insights from massive dataset of geospatial, behavioral, economic, and tens of millions of interactions of our customers on our platform across multiple business verticals (eg, Food, Mart, Transport, etc) regionally.
Deep drive to identify business insights and propose data science solutions to particular business use cases, Scope of work includes, but is not limited to, customer segmentation, customer LTV, recommendation, conversion rate prediction, rank & re-rank, demand forecasting, campaign targeting and optimisation, etc.
The Day-to-Day Activities
Design, build, validate, test, and deploy data science solutions in PRD.
Continues improvement through iterative model enhancement and A/B testing.
Collaborate with other data scientists, software engineers, and business operation teams to deliver business solutions.
Contribute to team’s innovation and IP creation.
Ph.D. graduate, or Master's Degree graduate with at least 3 years of experience, in Machine Learning, Statistics, Applied Mathematics, Computer Science, Economics, Operations Research, or a related field.
Deep understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization.
Proven track record of fast learning of new data science and ML/AI technologies.
Experience with machine learning framework (scikit-learn, Spark MLlib, Tensorflow, pytorch, etc).
Proficient in one or more of the following programming languages: Python, Scala.
Self-motivated, independent learner, and willing to share knowledge with team members.
Detail-oriented and efficient time manage in a dynamic working environment.
Experience with building recommender systems, customer segmentations, campaign targeting, Ads bidding, campaign optimisation and etc.
Experience with algorithm and model development for large scale applications.
Hands-on experience with one or more big data processing frameworks such as Spark.
Experience with applying CI/CD principles to data science projects.
Experience with real-time data processing technologies such as Flink, Kafka, etc.
We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.
Grab is an equal opportunity employer. We owe our success to the talents of our globally-diverse team and the varying perspectives they add to our thriving community.
Grab does not accept unsolicited resumes sent by recruiting agencies. Please do not forward resumes to our job postings, Grab employees or other parts of the business. Grab will not be liable to pay any fees to agencies for candidates hired as a result of unrequested resumes.