Data Scientist

Quick Facts

• Mid-level Data Scientist (Consumer / Search)
• Focus: Domain-aware hybrid search and reducing the “cost of search” via intent recognition

Description

Join a mid-level Data Scientist team to move a search engine beyond keyword matching toward Domain-Aware Hybrid Search using LLMs, semantic search, and knowledge graphs. You will support the Central Query Understanding mechanism and implement Predictive & Assistive Discovery to automate intent recognition and reduce the cost of search.

Responsibilities

• Design, develop, and deploy predictive, segmentation, forecasting, and recommendation models
• Build query-to-category and query-to-product matching models to improve search relevance
• Fine-tune small, efficient models to strengthen internal AI engineering capabilities
• Work end-to-end across DS project phases: problem formulation, data exploration, modeling, automation, release, and monitoring
• Apply a range of methods including boosting, Bayesian methods, causal inference, optimization, deep learning, and forecasting
• Collaborate with business stakeholders, analytics, and data engineering on experiment setup and deployment
• Ensure models reflect business process specificity and stay up-to-date with GenAI challenges

Requirements

• Degree strongly related to statistical or mathematical modeling
• At least 2 years of experience in data analysis and building ML solutions released to production
• Strong understanding of statistical and machine learning methods, especially forecasting and decision tree-based algorithms
• Proficient in Python and comfortable using basic development tools
• Ability to process massive datasets (terabytes) using Google Cloud Platform with tabular, spatial, natural language, image, and time-series data
• English B2 and Polish C1

Benefits

• Flexible working hours in a hybrid model (4/1) and 30 days of occasional remote work
• Annual bonus based on performance and company results
• Well-located offices and excellent work tools
• MacBook Pro (16") or equivalent Dell with Windows, plus accessories
• Cafeteria-plan fringe benefits (medical, sports or lunch packages, insurance, purchase vouchers)
• Employer-paid English classes relevant to the role
• Training budget, hackathons, and an internal learning platform
• Additional day off for volunteering
• Social events and team community initiatives