Data Scientist

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Требуемый опыт работы: 3–6 лет

Полная занятость, полный день

Being a part of the Lamoda research & development team, you will be responsible for bringing advanced data-driven and ML products to our website, apps and internal processes.

We are working across various fields including Lamoda search, recommendation engine, catalogue ranking algorithms, personalisation framework, etc. along with an AB-testing platform and internal analytical tools like sales forecasting models and others.

What you’ll be doing:

  • Run user experience research to drive product insights from data through clickstream and internal systems data analysis

  • Productize and test product hypotheses

  • Work in close cooperation with developers to bring the algorithms to production

We require:
  • Passion for data science and engineering around data

  • University degree in applied mathematics, IT, computer science or relevant. Strong knowledge of probability theory and mathematical statistics

  • Strong knowledge of machine learning, predictive modeling, and statistical analysis techniques

  • At least 2 years of experience in data analysis and ML

  • Proficiency in Python, Linux, Big Data techniques

  • Knowledge of algorithms and data structures, experience with SQL, Hadoop, Hive, Spark

  • Experience with at least 2 ML libraries: Scikit-learn, Vowpal Wabbit, XGBoost, CatBoost, TensorFlow, Spark ML

  • Deep learning skills for computer vision or NLP is a plus

  • Upper-Intermediate English (technical reading and professional communication)

  • Kaggle competitions rewards, Yandex School of Data Analysis, relevant Coursera / Edx / other online / offline courses as a plus

We offer:

  • Challenging and interesting atmosphere in a young team of professionals
  • Official employment, social package
  • Comfortable office in city center m. Polezaevskaya / m. Horoshevskaya / mck Horoshevo
  • Competitive salary
  • Free English courses
  • Discount on the entire range of products
  • High exposure to different departments, data sources and business problems
  • Collaboration and discussion with our technology partners (e.g. Facebook, Google, Yandex, VK, Amazon)
  • Exposure to the newest technologies in the data science space

Вакансия опубликована 22 августа 2019 в Москве

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