Senior Data Scientist (Search & Recommendations)Full-timeCompany 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.Job DescriptionGet to Know the TeamYou will join our Search and Recommendations team — join a group of machine learning engineers and data scientists who build the algorithms that help millions of users discover food, groceries, and services across Southeast Asia. We work with engineering, product, and business teams to turn data into features that directly impact how users navigate our platform.Get to Know the RoleYou will report into the Senior Data Science Manager, and work onsite at Grab One North Singapore office. You will design and build machine learning systems that power search ranking and personalized recommendations at scale. Your work will span deep learning model development, LLM integration, and production deployment. You will measure your impact through offline evaluation metrics and online A/B test results that directly affect user engagement and business metrics.The Critical Tasks You will PerformYou willdesign and implement deep learning algorithms for search ranking, session-based recommendations, and multi-objective personalization systems that serve millions of users daily.You willfine-tune and deploy Large Language Models (LLMs) to improve search query understanding and recommendation relevance.You willlead offline evaluation design and online A/B testing to validate model performance, ensuring measurable improvements to user engagement before production release.You willpartner with software engineers to scale your models from prototype to production, including model serving optimization and latency requirements.You willtranslate data insights into concrete product features by collaborating with product managers and business operations teams, defining requirements based on user behaviour analysis.You willmonitor model performance in production and implement retraining pipelines to maintain prediction quality as data patterns evolve.QualificationsWhat Essential Skills You will NeedTo perform the tasks above, you will need:Master's in Computer Science, Operations Research, Statistics, or equivalent quantitative field, or equivalent practical experience building production ML systems at scale.At least 3 years of experiencebuilding and deploying deep learning models for search, recommendation systems, or NLP applications in production environments.Hands-on experience with Python and Scalato build data pipelines and model serving systems that process high-volume user interaction data.Proficiency in at least one deep learning framework(PyTorch, TensorFlow, or JAX) to implement neural network architectures for ranking and sequence modelling.Experience with LLM fine-tuning and deploymentusing frameworks such as Hugging Face Transformers or similar tools to adapt pre-trained models for search and recommendation tasks.Demonstrated experience with A/B testing frameworksand statistical evaluation methods to measure model impact on user behaviour metrics.Experience deploying models to productionusing ML serving infrastructure (such as TensorFlow Serving, TorchServe, or cloud-based ML platforms) and optimising for latency constraints.Additional InformationLife at GrabWe care about your well-being at Grab, here are some of the global benefits we offer:We have your back withTerm Life Insuranceand comprehensiveMedical Insurance.WithGrabFlex, create a benefits package that suits your needs and aspirations.Celebrate moments that matter in life with loved ones throughParentalandBirthday leave, and give back to your communities throughLove-all-Serve-all (LASA)volunteering leaveWe have a confidentialGrabber Assistance Programmeto 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 provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy applyJob LocationGoogle Maps requires functional cookies to be enabledI'm interestedI'm interestedPrivacy Notice
