Data Science Professionals (Dolap)
Job Summary
Job Description
Dolap, Trendyol's second-hand goods platform, seeks Data Science Professionals to enhance personalization and recommendation models. Responsibilities include developing machine learning pipelines, applying ML-Ops best practices, optimizing recommendation performance, identifying data-driven business solutions, and communicating findings to engineering and management. The role requires experience in applied data science, various machine learning algorithms, Python (or similar), SQL, and strong analytical skills. Experience with e-commerce or self-service models is a plus. The Data Science department is comprised of 90+ talented data scientists working in autonomous domains with strong cross-collaboration.
Must have:
- 1+ years Data Science/ML experience
- Applied data science expertise
- Proficiency in Python/SQL
- Recommendation systems knowledge
- Strong analytical skills
Good to have:
- Experience with PyTorch/TensorFlow
- E-commerce/self-service model experience
Perks:
- Hybrid work model
- Summer remote work
- Trendyol shopping budget
- International office locations
- Extensive training platform
- Mentoring and professional development
7 skills required
Job Details
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 root
We 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 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.
Focused on positive impact
Our 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 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
- Data Science department in Trendyol consists of 90+ talented data scientists organized under several domains. Each domain is autonomous and empowered to experiment with new ideas while cross-collaboration is strongly encouraged with horizontal structures.
- As part of the Dolap domain, you will primarily enhance and innovate personalization efforts and recommendation models to drive meaningful impact. Additionally, you will have the opportunity to work on various areas within the app that require machine learning algorithms
- Develop machine learning pipelines and recommendation systems that will improve users experience in the app
- Apply best practices for working with ML-Ops infrastructure, improve models and infrastructure to optimize recommendation performance.
- 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
QUALITIES WE ARE LOOKING FOR
- Bachelor's or Master's Degree preferably in Industial Engineering, Computer Science, Statistics, with 1+ years of experience as a Data Scientist or Machine Learning Engineer.
- Experience in applied data science and a wide range of data science stack of algorithms and models. Knowledge about recommendation and personalization domain is a big plus.
- Good knowledge of python or other programming language. Experience in one or more of the libraries such as Pytorch and TensorFlow is a plus.
- Good knowledge of SQL and familiarity with best practices.
- Strong analytical skills with a data driven approach
- Excellent written and verbal communication skills in English
- Experience with e-commerce or self-service business models is a big plus
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 offer a hybrid model that combines the productivity of remote work with the bonding and collaboration of in-office work. Teams are expected to work from our offices on designated days each week, fostering team spirit, creativity and cross team collaboration as part of our culture.
We also provide a summer working model, with a two-month fully remote work opportunity during July and August.
The hybrid working model only applies to hybrid roles; on-site roles require regular office presence.
Discover more about our #LifeatTrendyol and our culture on our Website, LinkedIn and YouTube channels.
At Trendyol, we believe in the power of an inclusive workplace. We value diversity and believe that every team member contributes to our vibrant culture. Our platform is for everyone, and so is our workplace. We encourage the representation and amplification of diverse voices in our business, as it allows us all to thrive, contribute, and shape the future together.
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