Data Science Professionals (Search)

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 root
We 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 DNA
As 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 impact
Our 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 TEAM
If 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.
• At the core of Listing Tribe, we focus on three key areas: Search, Pre-Search, and Seller Ads. Each area has its own specialty, but together, they make our platform easier to use and more effective. This teamwork ensures that your experience with our wide range of products is unmatched
• The Search Team is the backbone of the search experience, dedicated to refining our users' search experiences across multiple languages and countries. Our mission is to guide customers through our extensive catalog by providing personalized solutions tailored to their needs. We place a significant emphasis on tackling ranking problems, enhancing relevancy, and optimizing search components to ensure the utmost efficiency and user satisfaction
• The Pre-Search Team paves the initial steps of exploration, guiding users towards the right pathways. Leveraging tools like auto-complete and innovative strategies like query re-write when searches yield no results like, we streamline user journey from the moment it begins. By refining how queries are understood and addressed, we ensure a smooth, uninterrupted flow towards the products that best match your intent
• Our Seller Ads Domain is committed to balancing ad placements that empower our sellers while preserving a seamless customer experience on our platform. By leveraging targeted recommendation ads, search ads, and store ads, we enable sellers to reach their audience effectively, enhancing visibility and maximizing returns—all without compromising the customer journey. This approach fosters meaningful discovery and engagement across the platform
• 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
• 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

• Possesses strong analytical skills to interpret complex data and derive actionable insights
• Expert at breaking down complex problems into core elements and crafting effective, data-driven solutions
• Bachelor's or Master's Degree (PhD is a plus) preferably in Industrial Engineering, Computer Science, Statistics, with 3+ years of experience as a Data Scientist or Machine Learning Engineer.
• Familiarity with search ranking algorithms, information retrieval techniques, and deep learning based CTR models
• Good knowledge of python or other programming language. Experience in one or more of the libraries such as Scikit-learn, PyTorch and TensorFlow is a plus.
• Good knowledge of SQL and familiarity with best practices.
• Excellent written and verbal communication skills in English.
• Experience with e-commerce or self-service business models is a big plus.
• The experience range for this position is suitable for specialist/senior specialist and executive/manager (non-team management) roles.