Data Scientist - Central Query Understanding

Job Description:

In the Consumer domain, we create and maintain customer-facing applications that help millions of clients each day to complete their purchases. We are looking for a mid-level Data Scientist to join our team and help move our search engine beyond simple keyword matching toward a Domain-Aware Hybrid Search (integrating LLMs, Semantic Search, and Knowledge Graphs). In this role, you will be responsible for supporting the development of the Central Query Understanding mechanism and implementing Predictive & Assistive Discovery to reduce the "cost of search" through automated intent recognition.

In your daily work, you will handle the following tasks:

• Designing, developing, and deploying models that solve complex business problems, including predictive, segmentation, forecasting, and recommendation models.
• Developing query-to-category and query-to-product matching models to enhance the search experience.
• Building internal AI Engineering competence, including fine-tuning small, efficient models.
• Taking an active part in all Data Science project phases: from problem formulation and data exploration to modeling, automation, release, and monitoring.
• Using a wide range of model types, including boosting, Bayesian methods, causal inference, optimization methods, deep learning, and forecasting models.
• Collaborating across teams, partnering with business stakeholders, analytics, and data engineering teams on experiment setup and deployment.
• Ensuring models reflect business processes' specificity and staying up-to-date with GenAI challenges.

This is the right job for you if you:

• Have a degree strongly related to statistical/mathematical modeling.
• Possess at least 2 years of experience in data analysis and building machine learning solutions that have been released to production.
• Have a strong understanding of statistical and machine learning methods, specifically for forecasting and decision tree-based algorithms.
• Are proficient in Python and efficient in using basic development tools.
• Can process massive datasets (terabytes of data) using Google Cloud Platform solutions, working with tabular, spatial, natural language, image, and time-series data.
• Know English at a B2 level and Polish at a C1 level.
• Demonstrate core competencies in Analytical Thinking, Learning Agility, Cooperation, and Continuous Improvement & Innovation.

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.
• Well-located offices with fully equipped kitchens, bicycle parking, terraces, and excellent work tools like ergonomic chairs and interactive conference rooms.
• Top-tier equipment: A 16" or 14" MacBook Pro or corresponding Dell with Windows and all necessary accessories.
• A wide selection of fringe benefits in a cafeteria plan (medical, sports, lunch packages, insurance, purchase vouchers).
• Paid English classes related to the specific nature of your job.
• Growth opportunities: Training budget, inter-team tourism, hackathons, and an internal learning platform.
• Additional day off for volunteering and numerous social events (Family Day, Advent of Code, etc.).

#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 autonomy in team organization, space for continuous development, and the opportunity to try new things.
• You choose the technology that solves the problem and you are responsible for what you create.
• You will value our Developer Experience and the ecosystem based on tools like Kubernetes, Docker, Consul, and GitHub.
• You will be equipped with modern AI tools to automate repetitive tasks and focus on developing new services.
• You will meet the Allegro Scale: 1000+ microservices, 300K+ rps on our data bus, and production-used machine learning.
• You will become part of Allegro Tech, participating in conferences, guilds, and our internal Allegro Tech Meeting.

Send us your CV and... see you at Allegro!