Responsibilities
- Working in a data driven culture and work to create advocates
- Work on exploratory data analysis so that you can navigate a dataset and come out with broad conclusions based on initial appraisals
- Proven ability to relate and solve business problems through machine/deep learning, optimization, simulation, 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 fulfillment and delivery teams one step at a time
- Designs, prioritizes, and manages complex experiments through A/B tests and simulations
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
- Challenges existing product assumptions and converts learnings into clear, actionable product decisions
- 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
Expected Qualifications
- Bachelor's, Master's Degree or Ph.D. preferably in Industrial Engineering, Computer Science, Statistics
- 2-5 years of proven experience in a variety of machine learning modeling techniques (classification, regression, learning to rank algorithms, clustering, gradient boosting, deep learning etc.)
- 2-5 years of hands-on experience with optimization models, heuristics, meta-heuristics
- 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 delivery services, operations, supply chain, and/or e-commerce is a big plus
- Excellent written and verbal communication skills in English
Top Skills
What We Do
We were founded in 2010 with a dynamic and agile start-up spirit. Since then, we have grown into a decacorn, backed by Alibaba, General Atlantic, Softbank, Princeville Capital, and several sovereign wealth funds. We believe that technology is the driver; e-commerce is the outcome. Thanks to our dedicated team, we are one of the top five e-commerce companies in EMEA and one of the fastest-growing e-commerce companies in the world! We deliver more than 1.5 million packages every day across 27 countries. We offer our 30 million customers a flawless shopping experience. Dreaming big is in our DNA: We're gearing up to be the leading global e-commerce platform. As a dynamic and passionate company, we are constantly growing with Trendyol Tech, one of the top R&D centres; Trendyol Express, the fastest growing delivery network; Dolap, the largest second-hand goods platform; and Trendyol Go, our instant food and grocery delivery service. And we’re not done yet! Now, we are on a journey to expand the positive impact we create to international markets. We opened our first international office in Berlin in May 2022 and Amsterdam followed in October 2022 and may others are on the way.
