Data Scientist

ResponsibilitiesBuild statistical and machine learning models to analyse large (PB-scale) volume of customer data, uncovering valuable insights and patternsDesign and implement experiments, including A/B tests and causal inference to measure the impact of different strategies, initiatives, and product changes on user behaviour and business outcomesImplement robust MLOps pipelines to automate the deployment, monitoring, and maintenance of models in production environmentsEffectively communicate complex findings and insights to both technical and non-technical stakeholdersStay updated with the latest advancements in AI and Generative AI technologies.Build Big Data pipelines to support data science-related projectsRequirementsBachelor's degree or above in Statistics, Applied Mathematics, Computer Science or a related field3-5+ years of working experience in Data Science, machine learning and deep learningIn-depth understanding of machine learning and deep learning algorithmsHands-on experience in developing and deploying machine learning/deep learning models in productionExperience with common analysis tools(SQL/ Python)Familiar and comfortable with large volumes of data and big data technology (Hadoop/Spark/Hive)Experience in using deep learning frameworks(Tensorflow/PyTorch)Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practiceSelf-direction and willingness to both teach others and learn new techniquesKnowledge and affinity of GenAI libraries and toolsets including HuggingFace,LangChain, RAGAS, and more is a plusHands-on experience in RAG and fine-tune LLMs is a plusHave a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges