Data Scientist - Price Management (AI/ML)

Location: Warsaw, Poland; hybrid 4/1 model with 30 days of occasional remote work.

Salary: PLN gross 14,600–20,825 per month, plus an annual performance and company-results bonus.

Company

hirify.global is an e-commerce product company serving millions of customers at large scale with extensive microservices, data infrastructure, and production machine learning.

What you will do

• Co-create Price Management solutions from concept through productization, addressing complex business problems with predictive, segmentation, and recommendation models.
• Develop and apply GenAI, boosting, neural-network, causal-inference, optimization, and deep-learning methods.
• Process terabytes of tabular, natural-language, image, and time-series data using Google Cloud Platform.
• Build machine-learning models to monitor and improve incremental GMV generated by price subsidies.
• Develop data-science solutions and predictive insights to detect and prevent fraud.

Requirements

• At least 2 years of experience in data analysis with SQL and in building machine-learning solutions with Python.
• Strong understanding of statistical and machine-learning methods.
• Proficiency in Python and efficient use of basic development tools.
• Ability to translate business challenges into impactful AI/ML problems.
• Excellent communication skills, including analytical problem formulation and clear presentation of results.
• Degree strongly related to statistical or mathematical modeling, such as Mathematics, Physics, Economics, Computer Science, or a similar field.
• English proficiency at B2 level or higher.

Culture & Benefits

• Flexible working hours, with start times between 7:00 and 10:00, in a hybrid 4/1 model.
• MacBook Pro or equivalent Dell equipment with accessories, plus modern ergonomic office tools.
• Cafeteria benefits including medical, sports, lunch, insurance, and voucher packages.
• Paid English classes, training budget, hackathons, internal learning platform, and inter-team tourism.
• Additional volunteering day and social events.
• Autonomous team organization, knowledge sharing, continuous development, and modern AI tools for automating repetitive work.

Hiring process

• Submit a CV to apply.