Data Scientist Data Science Hub

2 tygodni temu

Warszawa, Mazovia, Polska Allegro Pełny etat
Job Description

At Data Science Hub, we create solutions based on Data Science / Machine Learning for business teams at Allegro. Our daily work is characterized by diversity, both in terms of the topics analyzed and the modeling techniques and technologies used. It is a great place for people who expect opportunities for continuous development and a unique opportunity to gain multidisciplinary knowledge about the activities of eCommerce platforms. Our portfolio of projects included supporting domains such as:

  • modeling user behavior (buyers and sellers)
  • logistics (e.g. predicting delivery time)
  • advertising campaigns (e.g. thematic recommendations)
  • promotional pricing and sales campaigns
  • indicator forecasts at the level of the entire platform (e.g. demand for products)

What will your job involve?

  • Building models that solve business problems - predictive, segmentation, forecasting, recommendation
  • Using a wide range of model types, including boosting models, Bayesian methods, causal inference, optimization methods, deep learning, Graph Neural Networks
  • Processing big data in GCP
  • Working not only with tabular data, but also with spatial data, natural language texts, images and time series
  • Taking part in implementations of off-line and on-line models

Why should you work with us?

  • Data Science plays a key role in the operation of Allegro - we are a data-driven technology company, and through the models and analyses provided you will have a significant impact on one of the largest eCommerce platforms in the world
  • Thanks to the wide range of projects we carry out, you will never run out of interesting challenges
  • Support of experienced Data Scientists - there is always someone to exchange ideas with, because we have the best specialists and experts in their field on board
  • You will have access to huge data sets and the latest data processing technologies
  • You will have the opportunity to learn the tools and technologies in practice:
  • Python, MLFlow, GCP BigQuery, Tableau, Composer, Dataflow, PySpark.
  • You will learn good programming, engineering and code management practices
  • We share our knowledge at industry conferences and trainings, we are an active participant and co-creator of the Data Science / Machine Learning community in Poland and in the world

What we offer:

  • A hybrid work model that you will agree on with your leader and the team. We have well-located office (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)
  • Annual bonus up to 10% of the annual salary gross (depending on your annual assessment and the company's results)
  • A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers)
  • English classes that we pay for related to the specific nature of your job
  • 16" or 14" MacBook Pro with M1 processor and, 32GB RAM or a corresponding Dell with Windows (if you don't like Macs) and other gadgets that you may need
  • A high degree of autonomy in terms of organizing your team's work; we encourage you to develop continuously and try out new things
  • Hackathons, team tourism, training budget and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues)
  • If you want to learn more, check it out

Our offer is addressed to people who:

  • Graduated with a degree strongly related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, Computer Science or similar major
  • Have at least 2 years of experience in data analysis using SQL and building machine learning solutions
  • Want to translate business challenges into ML problems
  • Can clearly communicate with business units - from formulating an analytical problem to a clear and intuitive presentation of results
  • Program in Python and efficiently use basic development tools
  • Understand statistical and machine learning methods, especially ones used for forecasting and algorithms based on decision trees

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