Data Scientist (Data Science Hub)
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 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)
responsibilities :
- 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
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 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)
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
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