Job Description

Company DescriptionAbout Grab and Our WorkplaceGrab is Southeast Asia\'s leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we\'ve got your back with everything. In Grab, purpose gives us joy and habits build excellence while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.Get to Know the TeamGrab\'s Fulfilment-Dispatch Data Science team tackles complex problems related to Grab\'s allocation capabilities. We ensure our passengers, driver-partners, consumers, and merchants receive a reliable fulfilment experience. We foster a culture where we enjoy raising the bar for ourselves and others, and that supports the freedom to explore and innovate.Get to Know the RoleAs a Lead Data Scientist (Dispatch) in the Fulfilment-Dispatch Data Science team, you will report into the Senior Data Science Manager and work hybrid in Singapore. You will build models and services that manage millions of requests daily and develop predictive models to improve dispatch decisions according to market conditions.The Critical Tasks You will Perform

• You will analyse large volumes of data and develop quick prototypes before deploying them to production
• You will design data pipelines and conduct experiments to measure your impact
• You will share your findings and their business implications to stakeholders
• You will establish and maintain production-grade machine learning systems
• You will implement live experiments and analyse the results to guide decision-making
• You will design and deploy production-ready microservices for model deployment
• You will work with business stakeholders to solve technical problems

QualificationsWhat Skills You Will Need

• You have at least 3 years of practical work experience at a technology company and have a Master Degree in Computer Science, Electrical/Computer Engineering, Industrial & Systems Engineering, Operations Research, Mathematics/Statistics, Transportation Engineering, or related technical disciplines.
• You are proficient in machine learning algorithms, model and lifecycle management
• You have experience in statistical analysis, probability, and handling large-scale data analytics
• You can run and interpret results from A/B tests and randomised controlled trials
• You are proficient in SQL and distributed computing frameworks such as Spark and Kafka
• You are proficient in Python and have experience in Golang and Scala.
• You are familiar with Git-based source control, code reviews, test-driven development, and cloud-based development (AWS/ Azure)

Additional InformationLife at GrabWe care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life\'s challenges.

What we stand for at GrabWe are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

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