Job Description
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 a Data Science Team Lead within the Dolap Application domain, you will play a pivotal role in enhancing buyer and seller experiences and optimizing operations for one of the most popular second-hand e-commerce platforms.Apply best practices for working with ML-Ops infrastructure, improve models and infrastructure to optimize the overall experience.Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.Synthesize methodology and data into actionable business strategy and communicate findings to engineering and management teams as driving business impact.With a firm belief in the power of Minimum Viable Products (MVPs), we adopt a progressive approach, iterating continually to evolve and perfect our solutions. Joining our team means contributing to a culture of innovation, where every challenge is an opportunity to improve and every solution is a step towards excellence.QUALITIES WE ARE LOOKING FOR5+ years of proven experience in a variety of machine learning modeling techniques—including classification, regression, learning to rank algorithms, clustering, and gradient boosting—coupled with a profound understanding of deep learning frameworks.Understanding of ecommerce domain and search engine technologies.Familiarity with search ranking algorithms, information retrieval techniques, and deep learning based CTR models.Familiarity with libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, xgboost and lightgbm.Proven expertise working with large data sets in multiple Data Science areas such as: Statistical Methods (e.g. Testing, GLM, Inference), Statistical/Machine Learning (e.g. Dimension Reduction, Clustering, Neural networks, Regularisation, Bagged/Boosted methods), Time Series, Natural Language Processing, etc.Experience with experimentation and causal observational analysis.Expert knowledge of Python, SQL (Spark or similar big data technologies is a plus) Experience in Cloud based environments, specifically Google.Possesses strong analytical skills to interpret complex data and derive actionable insights.Approaches challenges with a solution-oriented mindset, capable of troubleshooting issues and overcoming obstacles
