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 our Team:Grab\'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 Senior Data Scientist (Dispatch), you will report into the Senior Data Science Manager and be based onsite in Singapore. You will build models and services that handle millions of requests daily and design scalable dispatch methods that adapt to changing market conditions.The Critical Tasks You will Perform

• You will develop production-grade models and services that manage millions of requests daily
• You will analyse large volumes of data, create prototypes, and engineer them into production solutions
• You will design data pipelines and conduct experiments to measure your work\'s impact
• You will translate needs into technical problems and solutions
• You will communicate findings and their implications to business and product stakeholders
• You will iimprove existing dispatch features

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 proficiency in machine learning algorithms, model lifecycle, and production deployment
• You understand probability, hypothesis testing, Bayesian statistics, and more
• You have experience running and analysing A/B tests and controlled trials
• You are proficiency with relational databases (SQL), and frameworks such as Spark and Kafka
• You are proficiency in Python; experience in Golang and Scala
• You have knowledge of Git-based source control, code reviews, test-driven development, and cloud environments (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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