Team: Data Science
About the Team
At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
We solve complex problems with data, creativity, and agility — always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what’s next.
About the Role
Our primary focus is to empower our supply chain and logistics domains. As a Data Scientist, you will be instrumental in driving data-informed decisions; leveraging machine learning and optimization to refine inventory management, streamline fulfillment processes, and provide customers with precise delivery predictions.
Responsibilities
Working in a data driven culture and work to create advocatesWork on exploratory data analysis so that you can navigate a dataset and come out with broad conclusions based on initial appraisalsProven ability to relate and solve business problems through machine/deep learning, optimization, simulation, and statisticsWork in a highly dynamic environment where you see the result of your actions on the business/operationImprove the operational excellence of the fulfillment and delivery teams one step at a timeDesigns, prioritizes, and manages complex experiments through A/B tests and simulationsWork with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutionsChallenges existing product assumptions and converts learnings into clear, actionable product decisionsSynthesize methodology and data into actionable business strategy and communicate findings to engineering and management teams as driving business impactConduct projects end-to-end from early stage research through development, in consultation with stakeholdersExpected Qualifications
Bachelor's, Master's Degree or Ph.D. preferably in Industrial Engineering, Computer Science, Statistics2-5 years of proven experience in a variety of machine learning modeling techniques (classification, regression, learning to rank algorithms, clustering, gradient boosting, deep learning etc.)2-5 years of hands-on experience with optimization models, heuristics, meta-heuristicsHands-on experience in at least one of the programming languages (python, C#, java).Proficiency in SQL is required. ML pipeline design experience is essential.Develop and implement algorithms/heuristics to apply to real-life problems using programming languagesFamiliar with simulation techniques such as discrete event simulation, real-time simulation, etc.Having a curious mind and love to ask (and answer) "impossible" questionsBackground in data mining and statistical analysis expressing data-driven thinking skillExperience with delivery services, operations, supply chain, and/or e-commerce is a big plusExcellent written and verbal communication skills in English