A hybrid work model requires 1 day a week in the office.

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 Senior Data Scientist, you will build and maintain models supporting development of a wide variety of financial products offered on Allegro Platform. Our product portfolio is constantly evolving, so you can grow within our organization.

Our Data Science Portfolio includes projects such as:

• Dynamic pricing and creating pricing strategies of financial services products based on ML/DL models,
• Predicting the propensity to purchase/activate and building marketing strategies based on those results,
• Product recommendations within the Allegro platform that improve customer engagement - our data sets are the best playground you can imagine,
• Optimizing users’ facing processes, e.g. finding best time for sending communication,
• Providing ML models supporting business decisions within the whole Financial Services area.

We also take care about the development of your technical skills. More precisely, you will:

• 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 (recurrent NNs, conformal prediction, graph analytics).
• Work with diverse types of data: tabular, time series, graphs.

Technologies you’ll encounter on the job are (among others): Python, PyTorch, Snowflake, Airflow, Tableau, MLFlow, Azure, Kedro, DBT.

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. We organize internal seminars and part of the work time can be dedicated to research & self-development. If you want to keep growing and share your knowledge, we’ve got you covered.

We offer:

• High impact and opportunity to design the ML backbone of newly launched financial products
• 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
• Support of experienced Data Scientists and Engineers - there is always someone to exchange ideas with because we have the best specialists and experts in their field on board
• Our office which is located in one of the most vibrant and desirable locations in Warsaw - Fabryka Norblina. We enjoy numerous lunch spots, fully equipped kitchens, 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 companys results)
• Long-term discretionary incentive plan based on Allegro.eu shares
• 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 4-5 years of experience in data science
• Can translate business challenges into ML problems and tackle them using novel approaches
• Are excellent communicators, able to convey technical information to semi and non-technical audiences
• Fluently program in Python and use development tools with ease
• Have an advanced knowledge of SQL
• Know scikit-learn and PyTorch / TensorFlow
• Understand statistical and machine learning methods, especially algorithms based on decision trees and neural networks

The following are also a plus:

• Experience in growth/marketing area
• Representation learning
• Graph analytics

Submit your CV and join Allegro Pay!