Allegro Pay is Central Europe’s largest and fastest-growing FinTech – the only place where financial solutions can be created at such a large scale, using state-of-the-art technology. We work on purchase financing and payment methods used daily by customers of Allegro, the most popular shopping platform in Poland and one of the largest e-commerce companies in Europe. We seek talented people who want to create powerful and robust solutions supporting a product with over a dozen million active users.
As a Data Scientist, you will build and maintain models responsible for credit risk assessment of potential and current Allegro Pay customers. In your everyday work, you will encounter interesting business problems, big data sets and diverse models operating in production. More precisely, you will:
- define business goals in cooperation with a team of credit analysts and translate them to machine learning problems,
- analyse and process big data sets,
- work with diverse types of data: tabular, time series, graphs,
- develop multiple in-house tools responsible for model training, diagnostics and monitoring,
- train models with high business impact and monitor their operation in production,
- employ cutting-edge data science techniques.
Technologies you’ll encounter on the job are (among others): Python, Snowflake, Airflow, Tableau, MLFlow, Azure, Kedro.
Why is it worth working with us, and what sets us apart?
- We are an experienced team that is not afraid of hard problems and is constantly looking for development opportunities. We deploy our models at a large scale
- You will use some of the most interesting datasets on the market that are just waiting for you to get even more business value out of them
- You will combine multiple data sources, domain knowledge, and advanced ML techniques to deliver high-quality models
- Our employees regularly attend conferences in Poland and abroad (Europe & US), and each team has its own budget for training and study aids. If you want to keep growing and share your knowledge, we will always support you
We offer:
- 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
- Multidisciplinary nature of work at the intersection of business and technology, development opportunities both in the area of credit risk, and data and machine learning engineering
- Possibility to implement ML solutions which are unique on the market
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A hybrid work model that you will agree on with your leader and the team. We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)
- 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)
- Annual bonus of up to 10% of the gross annual salary (depending on your end-year assessment and the company's results)
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Fully sponsored English classes, related to the specific nature of your job
Our offer is addressed to people who:
- Graduated with a degree in Mathematics, Economics, Computer Science or a similar major
- Have at least 2 years of experience in data science
- Want to translate business challenges into ML problems and tackle them using novel approaches
- Have an advanced knowledge of SQL
- Fluently program in Python and use development tools with ease
- Know scikit-learn and PyTorch
- Understand statistical and machine learning methods, especially algorithms based on decision trees and neural networks
Nice-to-have:
- Experience in credit risk
- Representation learning
- Graph analytics
Submit your CV and join Allegro Pay!
