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Data Science Professionals Listing Tribe (Search & ADS)

İstanbul, Türkiye (Hybrid)

Data Science Professionals Listing Tribe (Search & ADS)

1 Month ago • 3 Years + • Data Analyst

About the job

11 skills required for this role

Test your skills to join the top 1% applicants for this job

tensorflow

algorithms

deep-learning

python

pytorch

sql

scikit-learn

data-science

business-strategy

budget-management

innovation

Job Description

Trendyol's Data Science department (90+ data scientists) seeks professionals for its Listing Tribe (Search, Pre-Search, Seller Ads). Responsibilities include applying ML-Ops best practices, optimizing recommendation performance, identifying data-driven business solutions, and communicating findings to engineering and management. The Search team refines user search experiences; Pre-Search guides initial exploration; Seller Ads balances ad placements for sellers and customers. The role involves working with MVPs and iterating on solutions. Experience with search ranking algorithms, information retrieval, deep learning models, Python (Scikit-learn, PyTorch, TensorFlow), SQL, and e-commerce is valuable.

Must have:

Strong analytical skills
Problem-solving skills
Data-driven solutions
Experience with ML-Ops
Python/SQL knowledge
Communication skills

Good to have:

Search ranking algorithms
Information retrieval
Deep learning models
E-commerce experience

Perks:

Hybrid work model
Summer remote work
Training platform
Mentoring
Competitive benefits
Trendyol shopping budget

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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.
At the core of Listing Tribe, we focus on three key areas: Search, Pre-Search, and Seller Ads. Each area has its own specialty, but together, they make our platform easier to use and more effective. This teamwork ensures that your experience with our wide range of products is unmatched
The Search Team is the backbone of the search experience, dedicated to refining our users' search experiences across multiple languages and countries. Our mission is to guide customers through our extensive catalog by providing personalized solutions tailored to their needs. We place a significant emphasis on tackling ranking problems, enhancing relevancy, and optimizing search components to ensure the utmost efficiency and user satisfaction
The Pre-Search Team paves the initial steps of exploration, guiding users towards the right pathways. Leveraging tools like auto-complete and innovative strategies like query re-write when searches yield no results like, we streamline user journey from the moment it begins. By refining how queries are understood and addressed, we ensure a smooth, uninterrupted flow towards the products that best match your intent
Our Seller Ads Domain is committed to balancing ad placements that empower our sellers while preserving a seamless customer experience on our platform. By leveraging targeted recommendation ads, search ads, and store ads, we enable sellers to reach their audience effectively, enhancing visibility and maximizing returns—all without compromising the customer journey. This approach fosters meaningful discovery and engagement across the platform
With a firm belief in the power of Minimum Viable Products (MVPs), we adopt a progressive approach, iterating continually to evolve and perfect our solutions. Joining our team means contributing to a culture of innovation, where every challenge is an opportunity to improve and every solution is a step towards excellence
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

Possesses strong analytical skills to interpret complex data and derive actionable insights
Expert at breaking down complex problems into core elements and crafting effective, data-driven solutions
Bachelor's or Master's Degree (PhD is a plus) preferably in Industrial Engineering, Computer Science, Statistics, with 3+ years of experience as a Data Scientist or Machine Learning Engineer.
Familiarity with search ranking algorithms, information retrieval techniques, and deep learning based CTR models
Good knowledge of python or other programming language. Experience in one or more of the libraries such as Scikit-learn, PyTorch and TensorFlow is a plus.
Good knowledge of SQL and familiarity with best practices.
Excellent written and verbal communication skills in English.
Experience with e-commerce or self-service business models is a big plus.
The experience range for this position is suitable for specialist/senior specialist and executive/manager (non-team management) roles.

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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