FIND_THE_RIGHTJOB.
Data Science Professionals (Supply Chain & Logistic)
JOB_REQUIREMENTS
Hires in
Not specified
Employment Type
Not specified
Company Location
Not specified
Salary
Not specified
About the Team
At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
We solve complex problems with data, creativity, and agility — always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what’s next.
About the Team
Our primary focus is to empower our supply chain and logistics domains. As a Data Scientist, you will be instrumental in driving data-informed decisions; leveraging machine learning and optimization to refine inventory management, streamline fulfillment processes, and provide customers with precise delivery predictions.
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
What We Offer
- Hybrid working model with flexibility: a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
- Customisable FlexBenefits budget: Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.
- Well-being support: Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.
- Personalised training allowance and learning opportunities: Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.
- Responsibility from day one: Take full ownership from the start in a culture where every voice is heard and valued.
- A diverse, international team: Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
- Opportunities to grow with the best: Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
- Meaningful connections beyond tasks: Be part of team rituals, events, and social activities that help us stay connected and inspired.
Take the Next Step
If this role excites you, apply today, we look forward to taking the next step with you.
Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.
Similar jobs
No similar jobs found
© 2026 Qureos. All rights reserved.