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 company's 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!
