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
- Working in a data driven culture and work to create advocates
- Work on exploratory data analysis so you can navigate a dataset and come out with broad conclusions based on initial appraisals
- Proven ability to relate and solve business problems through optimization, simulation, machine learning and statistics
- Work in a highly dynamic environment where you see the result of your actions on the business/operation
- Improve the operational excellence of the delivery team one step at a time
- Experience diving into data to consider hidden patterns and conducting error analysis
- 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
- Conduct projects end-to-end from early stage research through development, in consultation with stakeholders
Qualities We Are Looking For
- Bachelor's, Master's Degree or Ph.D. preferably in Industrial Engineering, Computer Science, Statistics
- 3-8 years of proven experience in a variety of machine learning modeling techniques (classification, regression, learning to rank algorithms, clustering, gradient boosting, deep learning etc.)
- 3-8 years of hands-on experience with optimization models, heuristics, meta-heuristics & COTS optimization software such as Cplex, Gurobi, etc.
- Hands-on experience in at least one of the programming languages (python, C#, java).
- Proficiency in SQL is required. ML pipeline design experience is essential.
- Develop and implement algorithms/heuristics to apply to real-life problems using programming languages
- Familiar with simulation techniques such as discrete event simulation, real-time simulation, etc.
- Having a curious mind and love to ask (and answer) "impossible" questions
- Background in data mining and statistical analysis expressing data-driven thinking skill
- Experience with local delivery services, operations, supply chain, and/or e-commerce is a big plus
- E-commerce experience is a big plus.
- Excellent written and verbal communication skills in English
- Nice to have: experience working on modeling techniques and advanced applied skills such as significance testing, regression, and classification using Python.
