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 RESPONSIBILITIES
- Data 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 Dolap domain, you will primarily enhance and innovate personalization efforts and recommendation models to drive meaningful impact. Additionally, you will have the opportunity to work on various areas within the app that require machine learning algorithms
- Develop machine learning pipelines and recommendation systems that will improve users experience in the app
- Apply best practices for working with ML-Ops infrastructure, improve models and infrastructure to optimize recommendation performance.
- 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
QUALITIES WE ARE LOOKING FOR
- Bachelor's or Master's Degree preferably in Industial Engineering, Computer Science, Statistics, with 1+ years of experience as a Data Scientist or Machine Learning Engineer.
- Experience in applied data science and a wide range of data science stack of algorithms and models. Knowledge about recommendation and personalization domain is a big plus.
- Good knowledge of python or other programming language. Experience in one or more of the libraries such as Pytorch and TensorFlow is a plus.
- Good knowledge of SQL and familiarity with best practices.
- Strong analytical skills with a data driven approach
- Excellent written and verbal communication skills in English
- Experience with e-commerce or self-service business models is a big plus
