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 teamThe Recommendation Data Science team focuses on improving consumers\' recommendation experience in different Grab services (e.g. GrabFood). Our goal is to build a top-tier Search & Personalisation platform powered by big data within our Tech Family.Get to know the role:As a Senior Data Scientist, you will develop machine learning models that understand and predict consumer preferences, behaviour, and interactions in the domain of recommendations. You will report into the Senior Data Science Manager and be based onsite in Singapore.The Critical Tasks You Will Perform

• You will dive into large datasets to extract insights and pinpoint opportunities for product enhancements.
• You will design and implement machine learning algorithms based on these identified opportunities.
• You will conduct A/B tests to evaluate the impact of algorithms and new features on overall system performance.
• You will visualise and explain results to facilitate discussions with business and product stakeholders.
• You will drive product improvements and introduce new features.
• You will lead the development of algorithms.

QualificationsWhat Essential Skills You Will Need

• You have at least 2 years of experience developing recommendation algorithms.
• You have a Master\'s degree in Computer Science, Computer Engineering, or a related technical discipline. This is necessary to understand complex algorithms and statistical methods.
• You are proficiency in Machine Learning, Optimisation and Mathematics, crucial for developing accurate models.
• You are experience with mainstream deep learning frameworks such as TensorFlow.
• You have knowledge of deep learning algorithms and their applications, such as multi-task learning, interest representation, and graph embedding.
• You have software development capabilities, especially in Python, Scala, or C++, with attention to coding style and work habits.

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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