Job Description

Join our dynamic team as a Data Scientist II and work at the forefront of data-driven innovation. You'll dive deep into exploratory data analysis, modeling, and MLOps to craft impactful solutions across multidisciplinary teams.Duties and Responsibilities:Collaborate and work across functional and multidisciplinary teams in a dynamic environment to develop an understanding of evolving/agile business needsThe Data Scientist role has work across the following four areas:Exploratory data analysis:Conduct in-depth exploratory data analysis (EDA) to uncover hidden patterns, anomalies, and trends.Utilize statistical techniques and data visualization tools to communicate insights effectively to both technical and non-technical stakeholders.Perform hypothesis testing and A/B testing to validate assumptions and measure the impact of data-driven decisions.Feature engineering and enrichment:Create and refine relevant features from raw data to enhance model performance.Leverage large language models (LLMs) to generate novel features and augment existing datasets.Modeling:Design, develop, and deploy advanced machine learning models (e.g., regression, classification, clustering) to address complex business problems.Continuously improve model performance by fine-tuning hyperparameters, exploring new algorithms, and incorporating feature engineering techniques.Collaborate with domain experts to understand business objectives and translate them into actionable data science solutions.Data Operations and MLOps:Develop and maintain efficient data pipelines to extract, transform, and load (ETL) data from various sources.Deploy and manage machine learning models in production environments using MLOps practices.Monitor model performance, retrain as needed, and implement automated retraining pipelines.Collaborate with software teams to ensure seamless integration of data science solutions into the broader technology stack.Requirements and Qualifications:BS/MS in Science (Statistics, Computer Science, Econometrics, Data Science, Artificial Intelligence ).1-5 years of experience with data science or computer science fieldsExperience with common data science toolkits, programming languages, visualization tools and SQL/NoSQL databases.Good applied statistical knowledge with emphasis in business and finance related statistical distributions, statistical testing, modeling, regression analysis, etc.Good foundation of computer science knowledge such as data structure, operating systemFamiliar or prone to adopt design thinking methods.Able to work under pressure and change, and balance among speed, reliability, interpretability.Experience with code versioning, code review and documentation.Effective communication skillsExperience in building part-time projects which focuses on:Additional skill based requirements:Machine LearningUnderstanding of machine learning algorithms such as k-NN, Naive Bayes, SVM, Decision trees.Experience using ML frameworks such as TensorFlow, PyTorch, or scikit-learn.Experience with Google Cloud Platform products and services such as Vision API, Recommendations API, Cloud Natural Language.GenAILeverage the power of Generative AI to develop innovative solutions that push the boundaries of creativity and automation such as target labeling, building chatbot system, data enrichment, semantic searchExperience in designing and implementing RAG systems, including knowledge base construction, information retrieval, and model fine-tuning.Algorithm EngineeringStrong ability to implement, improve, and deploy ML and Math models in Golang or Python.Conduct systems tests for security, performance, and availability.Develop and maintain the design and troubleshooting/error documentation.Create cost effective scalable systems and develop innovative algorithm solutions.Operations ResearchFamiliar with modeling problems as mathematical programming, constraint satisfaction, particle swarm optimization and other appropriate OR methodologies.Familiar with tools such as Cplex, Gurobi, Google OR-Tools.We are all different - one talent to another - that is how we rely on our differences. At AirAsia, you will be treated fairly and given all chances to be your best.We are committed to creating a diverse work environment and are proud to be an equal opportunity employer.Search Firm Representatives - AirAsia does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place.

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