الوصف الوظيفي
Ready to learn more about us?We were founded in 2010 with a dynamic and agile start-up spirit. The trust of around 30 million customers and 250,000 sellers has made us the first decacorn in Turkey. Our success is backed by renowned investors such as Alibaba, General Atlantic, Softbank, Princeville Capital and several sovereign wealth funds. In 2022, we opened our first dedicated international office in Berlin and expanded to Amsterdam, Luxembourg and London. And that's just the beginning!Tech at the rootWe believe that technology is the driver and e-commerce is the outcome. Thanks to the dedication of our team, we have become one of the top 5 e-commerce companies in EMEA and one of the fastest growing worldwide. We currently deliver over 1.5 million parcels daily to 27 countries.Growth is in our DNAAs a young and dynamic company, we are constantly growing and expanding. With Trendyol Tech, one of the leading R&D centres, Trendyol Express, the fastest growing delivery network, Dolap, the largest platform for second-hand goods, and Trendyol Go, our instant food and grocery delivery service, we are gearing up to become the world's leading e-commerce platform.Focused on positive impactOur vision goes beyond business success. We strive to make a sustainable and positive impact on our customers, business partners, and society. By digitizing merchants and SMEs, helping businesses grow, and promoting women's economic empowerment, we are dedicated to creating a better future.ABOUT THE TEAMIf you are a techie, you belong in our Technology Team that builds scalable, high-performance platforms for our customers using up-to-date and efficient technologies.We are all working with the same purpose: To create a positive impact in our ecosystem by enabling commerce through technology.YOUR MAIN RESPONSIBILITIESData Science department in Trendyol consists of 90+ talented data scientists organized under several domains. Each domain is autonomous and empowered to experiment with new ideas while cross-collaboration is strongly encouraged with horizontal structures.As part of the Seller domain, your goal is to enhance business value by leveraging data science to improve the seller experience on the platform. This includes assessing seller and product quality, offering algorithm-driven recommendations to sellers, and delivering predictive insights across the Seller lifecycle.Be a data champion in Trendyol who relentlessly advocates for decisions based on data and actions driven by algorithms.Build, implement and iteratively improve ML models to solve complex business problems.Adopt a holistic mindset and develop comprehensive ML pipeline solutions, incorporating multiple algorithm layers as necessary.Execute A/B experiments, reach conclusions statistically and build upon learnings continously.Translate business needs into data world, come up with value-adding outputs and communicate the results to cross teams effectively.Focus on outcomes ensuring that all model development are aligned with the business objectives and deliver measurable results.Stay updated with the latest developments in data science and always come up with innovative ideas to improve processes iteratively.Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutionsQUALITIES WE ARE LOOKING FORBachelor's or Master's Degree preferably in Industrial Engineering, Computer Science, Engineering, Statistics or a related quantitative field.3-6 years of proven experience in a variety of machine learning modeling techniques (Classification, regression, learning to rank algorithms, clustering, gradient boosting, deep learning etc.)Proficiency in Python and SQL is required. ML pipeline design experience is essential.Proven experience in data mining and statistical analysis.Effective communication skills with a capability of explaining complex data concepts clearly.Exhibit a strong sense of urgency and drive tasks to completion to meet the dynamic needs of our fast-paced environment.Excellent written and verbal communication skills in English.E-commerce experience is a big plus.The experience range for this position is suitable for specialist/senior specialist roles.
