Data Science Team Lead Position
4 days ago
About Us
">- We were founded in 2010 with a dynamic and agile start-up spirit, driven by our vision to make a sustainable and positive impact on our customers, business partners, and society.
- Today, we are one of the top 5 e-commerce companies in EMEA and one of the fastest growing worldwide, delivering over 1.5 million parcels daily to 27 countries.
- Our team is composed of talented individuals from various backgrounds, working together towards a common goal: to create a better future through technology and innovation.
Tech at the Root
At Trendyol, we believe that technology is the driver and e-commerce is the outcome. Our dedication to innovation has enabled us to develop scalable, high-performance platforms for our customers using up-to-date and efficient technologies.
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.
Job Description
As a Senior Data Scientist for E-commerce, 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.
- You will work closely with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- You will synthesize methodology and data into actionable business strategy and communicate findings to engineering and management teams as driving business impact.
Required Skills and Qualifications
To be successful in this role, you will need:
- A strong understanding of machine learning modeling techniques, including classification, regression, learning to rank algorithms, clustering, and gradient boosting.
- Familiarity with search ranking algorithms, information retrieval techniques, and deep learning based CTR models.
- Expertise working with large data sets in multiple Data Science areas such as Statistical Methods, Statistical/Machine Learning, Time Series, Natural Language Processing, etc.
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