Junior Data Scientist

Our requirements

• Have foundational experience or academic background in building classical ML/DS solutions (such as regression, classification, clustering, time series) and data analysis using SQL.
• Understand classical ML algorithms, their strengths, weaknesses, and basic hyperparameter tuning techniques.
• Know how to evaluate model performance using statistical metrics and diagnose basic data & mapping quality issues.
• Can explore data effectively by writing cost-efficient SQL queries, aggregating data, and creating clear reports or visualizations to deliver actionable business insights.
• Are capable of ingesting, validating, and transforming tabular data and product metadata into features ready for modeling.
• Can map business challenges (e.g. product relevance, mapping accuracy, trend detection) into analytical/modeling problems.
• Write readable, clean Python code following standards and best practices, with awareness of basic testing (e.g. unit tests) and cloud cost optimization basics.
• Possess practical and theoretical knowledge of Generative AI & Agentic AI principles (prompting, validation, agent workflows) and enthusiastically leverage AI-assisted coding tools (e.g. Copilot) to accelerate daily work.
• Communicate clearly and proactively, presenting findings and insights effectively to technical and non-technical stakeholders.
• Speak English and Polish at a B2+ level or higher.
• Graduated with a degree in Mathematics, Computer Science, Economics, Physics (or similar quantitative field) or have early-career experience in Data Science / Data Analytics positions.

Your responsibilities

• Creating data science projects at each stage - from concept to productization - to deliver models solving complex business problems.
• Developing ML models to monitor and continuously improve the quality of product mappings for key internal processes.
• Working with diverse data modalities, including tabular data, natural language text, product metadata, and time series.
• Building and experimenting with AI Agents designed to detect market trends and feed actionable intelligence directly into partner-support workflows.
• Identifying and building curated lists of market-relevant products crucial for buyers and platform competitiveness.
• Developing advanced data science solutions and predictive insights to empower business teams and drive strategic decision-making.
• Working hand-in-hand with Data Engineers who support data pipeline heavy-lifting on GCP.
• Cooperating closely with cross-functional stakeholders: business teams, product managers, data engineers, and analysts.

About the project

#goodtobehere means that:

What we offer

• 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.

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• flexible working time
• integration events
• no dress code
• leisure zone
• extra social benefits