Data Scientist - Price Management

Quick Facts

• Role: Data Scientist in Price Management
• Location: Warsaw (hybrid)

Description

You will power price management initiatives by owning core algorithms and data models that translate customer segment intent into business logic and vertical rules. The role focuses on predictive, segmentation, and recommendation models, using advanced techniques such as GenAI, boosting models, neural networks, causal inference, and optimization. You will process terabytes of data on Google Cloud across tabular, natural language, image, and time-series datasets.

Responsibilities

• Lead end-to-end data science projects from concept to productization in the Price Management area
• Build predictive, segmentation, and recommendation solutions to solve complex business problems
• Develop and improve ML models for monitoring incremental GMV generated from price subsidies
• Create solutions to detect and prevent fraud in the system

Requirements

• At least 2 years of experience in data analysis using SQL
• At least 2 years of experience building machine learning solutions in Python
• Ability to translate business challenges into impactful AI/ML problems
• Excellent communication skills for problem formulation and clear result presentation
• Strong understanding of statistical and machine learning methods
• Degree strongly related to statistical/mathematical modeling
• English proficiency at least B2

Benefits

• Flexible working hours in a hybrid model (4/1) with early-start window (7:00–10:00) and up to 30 days occasional remote work
• Annual bonus based on performance and company results
• Well-located office with modern work tools and ergonomic setup
• MacBook Pro (14" or 16") or equivalent Dell with Windows and necessary accessories
• Cafeteria-style fringe benefits (e.g., medical, sports, lunch packages, insurance, vouchers)
• Paid English classes related to the job
• Training budget, hackathons, inter-team tourism, and internal learning platform
• Additional day off for volunteering
• Social events and team activities