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Salary
≈ $64k – $160k per year (Estimated)
Location
Remote (likely Poland)
Seniority
Junior · 2+ years exp

Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on Sep 26, 2026.

Overview
Company
Impact
Profile match
Allegro is the largest e-commerce marketplace in Poland, operated from Poznań, connecting around 20 million monthly users with more than 160,000 merchant partners across all key product categories. The group, whose Luxembourg-incorporated parent is listed on the Warsaw Stock Exchange, also runs Allegro Pay, the Allegro Smart delivery programme, Ceneo and eBilet, and has expanded to Czechia, Slovakia and Hungary with about 7,000 people across Central and Eastern Europe. It hires Java, Kotlin, Scala and .NET software engineers, data scientists, product managers and analysts alongside partner success, logistics, dispatch and warehouse staff in Warsaw, Poznań, Kraków and regional delivery hubs.

Are you a seasoned Data Scientist ready to make a significant impact on one of the world's largest eCommerce platforms? At Allegro's AI Hub, we're building cutting-edge solutions using Data Science and Machine Learning that directly influence our business success. If you thrive on diverse challenges, continuous development, and multidisciplinary knowledge, this is the place 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 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'll co-create solutions solving complex business problems in Marketing, Smart, Advertising areas, 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.

  • Drive model implementation: Take part in implementing both off-line and on-line models.

  • Collaborate across teams: Partner with business stakeholders, analytics, and data engineering teams.

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).

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 value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job.

  • 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.

  • You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about!

You can learn more about AI Hub work here and here.

Send us your CV and… see you at Allegro!

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