Get AI-powered advice on this job and more exclusive features.Solve complex real-world business problems using cutting-edge machine learning methods and techniquesDevelop data-driven models and tools to optimise trading performance across a host of domains including pricing and recommended sortConduct exploratory analysis to generate actionable insights, identify opportunities, and enhance our understanding of consumer behavioursRole Purpose:Solve complex real-world business problems using cutting-edge machine learning methods and techniquesDevelop data-driven models and tools to optimise trading performance across a host of domains including pricing and recommended sortConduct exploratory analysis to generate actionable insights, identify opportunities, and enhance our understanding of consumer behavioursReporting to: Head of Data ScienceKey Duties & ResponsibilitiesDeveloping industry leading data science solutions through:Defining data requirements and extracting required data to support solution developmentPerforming exploratory data analysis to improve understanding of underlying trends and behaviours to help inform feature engineering work and next steps in modelling processSupport in the designing and development of scalable and efficient data driven solutionsInput into the design decisions determining optimal data science methodologies and technologies to use to solve the problem at handEnsuring integrity of the data science solutions in terms of the underlying statistical and economic models and assumptionsCollaborating with the MLOps team in the development and deployment of proposed solutions to a live environment and tracking the effects in real timeDevising statistically robust testing plans to validate effectiveness of solutionsCollating results from in-market tests and validating themEffectively communicating outputs of work to other team members and business stakeholders in a manner that can be understood by both technical and non-technical audiencesWork with colleagues in Revenue function to ensure they are equipped with required tools, models and resources for optimising trading performanceSupport the wider business with BAU tasks related to the services Data Science provide or with designing new data-driven solutions to solve their complex business problemsProactively work with wider data & technology teams to support the collection of new data and refinement of existing data sourcesKnowledge and Skills:Undergraduate, M.S. or Ph.D. in a relevant quantitative field, and 3+ years’ experience in a relevant roleSolid understanding of statistical modelling, algorithms, data mining and machine learning workflowsSome experience or knowledge of using more advanced ML libraries (TensorFlow, PyTorch, MXnet, etc.)Experience in the development or application of GenAI algorithms seen as a plusProficient in writing well structured, robust and readable code in PythonProficient in SQL and relevant experience using relational databasesAbility to communicate complex quantitative analysis in a clear, precise, and actionable mannerProven experience manipulating and analysing complex, high-volume, high-dimensional data from varying sourcesAbility to create compelling visualisations and dashboards (e.g. Tableau, Thoughtspot)Knowledge of Git and modern development workflowsProven ability to work creatively and analytically in a fast-paced, problem-solving environmentAbility to partner with Software Engineering teams to co-develop functionality for the businessSeniority levelSeniority levelNot ApplicableEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesHospitality, Food and Beverage Services, and RetailReferrals increase your chances of interviewing at CarTrawler by 2xGet notified about new Data Scientist jobs in Dublin, County Dublin, Ireland.Dublin, County Dublin, Ireland 4 days agoDublin, County Dublin, Ireland 4 weeks agoDublin, County Dublin, 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