Senior Data Scientist - Core Ops & Dispatch

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

• 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.

JOIN US AND

* Take responsibility from day one and develop your skills with a talented and diverse international team.
* Experience open communication, flexibility, and a start-up spirit in our unique culture.
* Tackle big challenges in e-commerce with Agile practices and encourage growth by learning from mistakes.
* Join creative and focused teams that prioritize collaboration and problem-solving.
* Access our extensive training platform for continuous learning and personal growth.
* Benefit from the support of a global team of experts with mentoring and professional development opportunities.
* Focus on talent and potential, not just job titles.
* Connect with teammates regardless of physical distance through events, meetings, and social activities.
* Enjoy competitive benefits such as Trendyol shopping budget, central and international office locations, and top-of-the-line technical equipment.
 

We're looking forward to receiving your application!

We embrace a hybrid working model that seamlessly blends the best of both worlds—remote productivity and the collaborative energy of our vibrant offices. Every month, we gather at our offices once to work side by side, fostering in person communication and embracing the camaraderie that fuels our team spirit. These sessions are crucial for teamwork in solving complex issues, socializing, learning from each other, and experiencing our culture.

Each division has a pre-set optional office day each week. Based on our preferences, we come together at our offices at our discretion as an opportunity to feel more team spirit, immerse in our culture, and familiarize ourselves with our way of workings.

We offer the opportunity for a two-month full remote work program, allowing you to work from abroad, during the summer period (July to August).

This working model applies to our hybrid job postings; on-site roles require being based in an office work environment.