Poznań, Poznań, Greater Poland Voivodeship, Polska
Allegro
6. 3. 2026
Informacje o stanowisku
technologies-expected :
Python
SQL
about-project :
Ready to shape the future of eCommerce with data? Join Allegro’s Language Intelligence team and become the analytical driving force behind our new AI Shopping Assistant.
We are looking for a highly analytical problem-solver with a product mindset, someone who sees data not just as tables and reports, but as a powerful tool for discovering opportunities and actively shaping the product. You wont just be pulling data; you will turn complex datasets into actionable product strategies on one of the worlds largest eCommerce platforms.
In this role, your insights, forecasts, and hypotheses will directly dictate how our AI product evolves. You will leverage applied math, statistics, and machine learning to build a robust backbone for data-driven decisions that impact millions of shoppers.
If you are an SQL expert with a solid foundation in Python and ML modeling, and you thrive on translating diverse data challenges into real product impact, this is the place for you.
responsibilities :
Analytical Ownership: Serve as the analytical Single Thread Owner for the AI Shopping Assistant, acting as a key partner in an empowered product team across all stages of the product lifecycle.
Data-Driven Product Shaping: Extract meaningful insights from user searches, interactions, and behaviors across Poland and international markets to continuously refine the AI Shopping Assistant.
Trend Analysis & Competitiveness: Analyze complex user trends and search patterns to ensure our AI solutions remain competitive against rapidly evolving external algorithms (like GPT).
Complex Problem Solving: Independently answer challenging business and product questions by translating raw data into compelling narratives and actionable product hypotheses.
Cross-Functional Collaboration: Partner closely with Product Managers, engineers, and technical teams to design and implement new platform capabilities based on real-world data.
requirements-expected :
A degree strongly related to statistical/mathematical modeling.
Proficiency in Python and SQL.
A strong understanding of statistics and probability.
A basic knowledge of machine learning.
A strong product mindset.
Insight-generation skills to translate complex analytical problems into clear product strategies
Great communication skills in English, from everyday communication in the team to formulating analytical problems.
offered :
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 dont 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.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
