Data Scientist - CX

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.
• As part of the DS- Customer Experience domain, your goal is to driving customer and seller engagement by optimizing user-generated content -text, videos, images etc- created by user and sellers. Which include review summerization by using opens source LLMs, image rankings models, review sorting models, DL supported size recommendation during fashion products purchase steps etc.
• Develop and maintain scalable ranking solutions that enhance the customer experience across various countries, taking into account the structural and unstructured (text, image) data of users in each region.
• Apply best practices for working with ML-Ops infrastructure, improve models and infrastructure to optimize existing ranking models performance.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• 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
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions

QUALITIES WE ARE LOOKING FOR

• Bachelor's or Master's Degree preferably in Industial Engineering, Computer Science, Engineering, Statistics or a related quantitative field
• 1-4 years of proven experience in a variety of machine learning modeling techniques (Classification, regression, learning to rank algorithms, clustering, gradient boosting, deep learning etc.).
• Knowledge with learning to rank algorithms and deep learning based ranking algorithms is a big plus.
• Hands-on experience with SQL, Python, TensorFlow/PyTorch and result-oriented attitude
• 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
• Experience with building NLP solutions as inputs of ranking algorithms is a big plus
• The experience range for this position is suitable for specialist/senior specialist roles