AllegroAbout the company
Żelazna 51/53, Wola, Warszawa
Warszawa, Masovian
valid for a month
to 20 July 2024
contract of employment
full-time
specialist (Mid / Regular)
hybrid work
remote recruitment
Specializations
:
Big Data / Data Science
See Also
Furgonetka Punkt ul. Młodzieńcza 3, Warszawa - Punkt kurierskiOrder sweets food delivery in Poland and receive it right away | GlovoZamów kuriera do domu i nadaj paczkę Inpost, DHL, UPS, DPD, FedEx, GLS, Meest, Ambro Express - epaka.plOferta pracy Senior Network Engineer, ERGO Technology & Services S.A., WarszawaTechnologies we use
Expected
SQL
Python
About the 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)
Your 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
Our requirements
- 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
This is how we organize our work
This is how we work
- in house
Development opportunities we offer
- development budget
- industry-specific e-learning platforms
- intracompany training
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)
Benefits
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
flexible working time
integration events
no dress code
leisure zone
extra social benefits
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
Allegro
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- Allegro, the most popular shopping platform in Poland and the largest e-commerce platform of European origin, is now connected with the Mall Group and WE|DO. We became a leading marketplace platform for European customers and merchants and enabled international merchants from across the wider geographical footprint and beyond to benefit from listing once and selling everywhere, while granting tens of millions of EU consumers convenient access to improved selection, best prices and delivery experience.
- We are constantly improving the shopping experience and provide the broadest selection at best prices and maximum convenience for 70m potential customers across the region (Poland, the Czech Republic, Slovakia, Hungary, Slovenia, and Croatia).
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