Data Scientist - Price Management

Join us as a Data Scientist in Price Management and power our key 2027 engine designed to build a strong, competitive price image across Allegro. You will own the core algorithms and underlying data models, mapping customer segment intent directly to our business logic and vertical rules. If you thrive on solving complex, high-impact data challenges that reach millions of users, this is the role for you!

Important things for you:

• The salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost):

  • PLN gross 14 600 - 20 825

  • Annual bonus based on your annual performance and company results.

• Our team is based in Warsaw.

What you'll do:

• Lead impactful projects: From concept to productization, you will co-create solutions solving complex business problems in Price Management area utilizing predictive, segmentation and recommendation models.

• Master diverse techniques: Work with a wide array of models, including GenAI, boosting models, neural networks, causal inference, optimization methods, and deep learning.

• Handle massive datasets: Process terabytes of data using Google Cloud Platform solutions, working with tabular, natural language, image, and time-series data.

• Selected projects (indicative, non-exhaustive):

  • Develop ML models to monitor and continuously improve the incremental GMV generated from price subsidies
  • Developing advanced data science solutions and predictive insights to detect and prevent fraud within the system

We are looking for people with:

• At least 2 years of experience in data analysis using SQL and building machine learning solutions in Python.

• A passion for translating business challenges into impactful AI/ML problems.

• Excellent communication skills, from formulating analytical problems to clear and intuitive presentation of results.

• Proficiency in Python and efficient use of basic development tools.

• A strong understanding of statistical and machine learning methods.

• A degree strongly related to statistical/mathematical modeling (Mathematics, Physics, Economics, Computer Science or similar).

• English proficiency on at least B2 level.

What's in it for you:

• Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.

• Annual bonus based on your annual performance and company results.

• Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).

• A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.

• 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 training budget, inter-team tourism (see more here), hackathons, and an internal learning platform where you will find multiple trainings.

• An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal.

• Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.

And that's just the beginning! You can read more about the benefits here.

#goodtobehere means that:

• You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA.

• You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create.

• You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support).

• You will create solutions that will be used (and loved!) by your friends, family and millions of our customers.

• You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning.

Send us your CV and… see you at Allegro!