Principal Data Scientist

Hepsiburada is a leading e-commerce technology platform in Türkiye. As Türkiye’s Hepsiburada, we are driving the digitalization of commerce, as a reliable, innovative and purpose-led companion in our customers’ daily lives. We are very proud of becoming the first Turkish company to be traded on the NASDAQ Stock Exchange. Driven by its focus on tech innovation, Hepsiburada has an established track record of bringing first-to-market services to its platform. Hepsiburada ecosystem consists of last mile delivery and fulfillment services HepsiJet and HepsiLojistik; grocery delivery service Hepsiburada Market; advertising platform HepsiAd; and payment services delivered through HepsiPay. HepsiGlobal offers selection from international merchants via its inbound arm while outbound operations aim to enable merchants in Türkiye to make cross-border sales. Our services are designed to provide a “peace of mind” experience to our customers, making us the most recommended e-commerce company in Türkiye.

For our colleagues, we offer a work environment that supports creating together and adding more meaning to our work. As a team full of opportunities, we are happy to develop, produce and succeed together.

If you want to be a part of an exciting success story that will make everyone say #iyikivarsınhepsiburada by joining our team that leads the digitalization of commerce by using the technologies of the future, your future is here.

Responsibilities:

• You will work machine learning algorithms and statistical techniques on our big data platform using Hive, Big Query ,Python, Keras, TensorFlow or your open source tool of choice, to harness volumes of online/offline data at scale to tackle diverse problems in our marketplace domain, mainly on dynamic pricing, product portfolio optimization, merchant segmentation etc,
• You will work closely with data scientists, software developers, QA engineers, business analysts and product owners.

Qualifications:

• Strong business acumen and problem defining abilities to find the most efficient route going to optimal business solution,
• Strong communication and data presentation skills,
• Experience in the following data science domains; Product & Customer Analytics, Optimization, Pricing
• Hands-on application experience of machine learning models, statistical methods and optimization algorithms in real-life problems,
• Feature engineering, feature selection and model validation abilities,
• Strong theoretical background in machine learning algorithms such as multiple regression, logistic regression, k-means clustering, feedforward neural networks, sequence models and tree based models
• Strong programming, prototyping and scripting skills in Python, Hive and in at least one deep learning framework such as Keras, PyTorch or Tensorflow,
• Experimental design and testing abilities,
• Advanced academic degree (MS / PhD) typically in a quantitative discipline or related field is a plus.

https://medium.com/hepsiburadatech

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"Bu ilan sebebiyle yapacağınız başvurular aracılığıyla toplanacak kişisel verileriniz veri sorumlusu D-Market Elektronik Hizmetler ve Ticaret A.Ş (“Hepsiburada”) tarafından 6698 sayılı Kişisel Verilerin Korunması Kanunu (“KVKK”) ve ilgili mevzuat kapsamında iş başvuru süreçlerinin yürütülmesi amacıyla otomatik yollarla işlenecektir. Detaylı bilgi için lütfen Aydınlatma

Metni’ndeki Çalışan Adayı (https://www.hepsiburada.com/kisisel-verilerin-korunmasi) kişi kategorisini inceleyiniz.”