Data Science Team Lead

1 day ago

Fatih, Istanbul, Turkey Trendyol Full time

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 a Data Science Team Lead within the Dolap Application domain, you will play a pivotal role in enhancing buyer and seller experiences and optimizing operations for one of the most popular second-hand e-commerce platforms.
  • Apply best practices for working with ML-Ops infrastructure, improve models and infrastructure to optimize the overall experience.
  • 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.
  • 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.
QUALITIES WE ARE LOOKING FOR
  • 5+ years of proven experience in a variety of machine learning modeling techniques—including classification, regression, learning to rank algorithms, clustering, and gradient boosting—coupled with a profound understanding of deep learning frameworks.
  • Understanding of ecommerce domain and search engine technologies.
  • Familiarity with search ranking algorithms, information retrieval techniques, and deep learning based CTR models.
  • Familiarity with libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, xgboost and lightgbm.
  • Proven expertise working with large data sets in multiple Data Science areas such as: Statistical Methods (e.g. Testing, GLM, Inference), Statistical/Machine Learning (e.g. Dimension Reduction, Clustering, Neural networks, Regularisation, Bagged/Boosted methods), Time Series, Natural Language Processing, etc.
  • Experience with experimentation and causal observational analysis.
  • Expert knowledge of Python, SQL (Spark or similar big data technologies is a plus)
  • Experience in Cloud based environments, specifically Google.
    • Possesses strong analytical skills to interpret complex data and derive actionable insights.
    • Approaches challenges with a solution-oriented mindset, capable of troubleshooting issues and overcoming obstacles.

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,LinkedInandYouTubechannels.

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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