pythonsqlgcpllmmachine learninga b testingairflowgenerative airecommendation systemscausal inference
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Company hidden предлагает чётко очерченную роль с выводом моделей в продакшен, сильной поддержкой опытной команды и работой с большими данными, ML и GenAI; гибридный формат только в Польше и знание польского сужают доступ.
Нужен польский
Современный стек
ML в продакшене
Поддержка развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (Partner Experience Data & AI) (ML/GenAI): Building production-ready data products, predictive models, recommendation systems, and agentic AI solutions that support partner activation, growth, and churn prevention with an accent on causal inference, experimentation, and end-to-end model ownership. Focus on designing uplift models and A/B tests, integrating LLMs and AI agents, deploying models to production, and translating complex results into actionable business recommendations.
Location: Hybrid 4/1 model in Warsaw or Poznań, Poland; 30 days of occasional remote work are available.
Company
hirify.global is a data-driven technology company operating one of the largest eCommerce platforms, with large-scale data, production machine learning, and AI initiatives.
What you will do
Co-create end-to-end machine learning models across the partner lifecycle, including activation, growth potential evaluation, and churn prevention.
Build scalable recommendation systems and incremental uplift models to drive product adoption and partner expansion.
Combine predictive machine learning with LLM orchestrations and agentic AI to create actionable recommendations for sellers and internal business teams.
Translate business challenges into machine learning frameworks, design and evaluate A/B experiments, and deploy models to production with continuous monitoring.
Collaborate with Data Engineers, Product Analysts, Developers, and Product Managers to build scalable data products.
Requirements
Extensive hands-on experience with Big Data, strong Python skills, and the ability to write complex, optimized SQL queries across large data marts.
Experience with Python data science tools and algorithms, including Pandas, scikit-learn, SHAP, XGBoost, CatBoost, gradient boosting, and segmentation algorithms.
End-to-end ownership of the machine learning lifecycle, from framing business problems and building predictive models through deployment and continuous monitoring.
Practical experience designing, setting up, and statistically evaluating A/B tests.
Ability to communicate complex model outcomes clearly and work effectively with technical and business stakeholders.
A degree in Computer Science, Mathematics, Physics, Economics, or another quantitative field, or equivalent hands-on Data Science and Machine Learning experience.
English and Polish proficiency at B2+ level or higher.
Nice to have
Experience building and running data science solutions in cloud environments, preferably GCP.
Practical knowledge of production model deployment and pipeline orchestration with Apache Airflow or dbt.
Hands-on experience programmatically using LLMs and Agentic AI to build automated applications.
Culture & Benefits
Flexible working hours in the hybrid 4/1 model, with start times between 7:00 and 10:00 a.m. and 30 days of occasional remote work.
Employee contract with discretionary hirify.global.eu share incentives and an annual performance- and company-results-based bonus.
Access to large datasets, modern technologies, experienced Data Scientists, conferences, training, hackathons, and an internal learning platform.
Medical, sports, lunch, insurance, and voucher benefits through a cafeteria plan, plus paid job-specific English classes.
Modern equipment, well-equipped offices, an additional volunteering day, social events, and an autonomous environment focused on knowledge sharing and continuous development.
Hiring process
Submit a CV to apply.
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