Ecommerce Data Scientist: Optimizing Operations for Growth

6 hours ago


Fatih, Istanbul, Turkey Trendyol Full time

Trendyol is a leading e-commerce company in Turkey with a strong presence in Europe, Middle East, and Africa (EMEA). We are seeking a talented Data Scientist to join our Dolap Application domain and optimize operations for growth.

About Us:

Founded in 2010, we have grown rapidly and become one of the top 5 e-commerce companies in EMEA. Our mission is to enable commerce through technology and make a sustainable positive impact on our customers, business partners, and society.

About the Role:

You will be responsible for applying best practices for working with ML-Ops infrastructure, improving models and infrastructure to optimize the overall experience. You will work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Additionally, you will synthesize methodology and data into actionable business strategy and communicate findings to engineering and management teams as driving business impact.

Requirements:

  • 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 libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, xgboost and lightgbm.
  • Familiarity 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.

We Offer:

  • A dynamic and collaborative work environment.
  • The opportunity to work with a talented and diverse international team.
  • Ongoing training and professional development opportunities.
  • A competitive compensation package.
  • A hybrid work model that combines remote work with in-office collaboration.


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