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Technologies-expected : SQL Python about-project : 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 e Commerce 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) responsibilities : Co-creating projects on each stage - from concept to productization - to deliver insights and models solving business problems from the area of DEX/CX/operations- predictive, segmentation, forecasting, recommendation etc. Using a wide range of model types, including boosting models, Bayesian methods, causal inference, optimization methods, deep learning Processing terabytes of data using Google Cloud Platform solutions 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 Provide technical leadership and mentorship to junior and mid-level data scientists Cooperation with other teams: business stake-holders, analytics, data engineers requirements-expected : 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 offered : 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 companys 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 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, Mind Up (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues) benefits : sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses life insurance flexible working time integration events no dress code leisure zone extra social benefits