A hybrid work model requires 1 day a week in the office (Warsaw).
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?
- 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
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 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, 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
