We have a complex data ecosystem that spans web and infrastructure logs, transactions and recurring subscription behavior, and tracking each inventory unit and throughput of our home grown reverse logistics rental operations. Data systemspower critical business decisions - from inventory assortment tooperational efficacy, frommarketingactionstopersonalizedwebsite features and customerexperienceenhancements -and we want to scale the data science function across all these vectors. What You'll Do: Mine the data ecosystem & find fruitful signals. Developand deploy performantalgorithmspowering applications. Examplesof applicationsincludeconsumer-facingrecommendationengines,inventory allocation systems,and internal apps for inventory buying and customer experience. Do bleeding-edge work including optimizing how products fit customers (unsolved as of yet), using AI techniques for inventory buying, and real-time streaming/model computations. About You: Strong academic background in Computer Science, Mathematics, Physics or a related quantitative/engineering field. Experience developingsoftware ordata products, particularly in Python, our go-to language. We also use R for ad-hoc modelling and analysis. Some understanding of java, the main language for our back-end systems, is a plus. Passion for data and its ability to driveseriousbusinessimpact. Ability to work independently and take responsibility in a function that isgrowing in strength but is also coreto the company’sgrowth. This job originally appeared on RecruitIreland.com.
5 days ago