Вакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями Для мэтча и отклика нужен Plus
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Зарплата и рынок
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€27к-55к/год
€51к€60кмедиана€98к
По похожим ролям (24) ~ €60к/год
Прикинули из €2.2к-4.6к/мес × 12
На СНГ рынке: $3.9к/мес ($2.8к - $4.4к)
52
Средняя вакансия
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Крутой технологический стек и трендовый AI-домен сильно перекрываются зарплатой значительно ниже рыночной и спецификой работы в крупном аутсорсе.
Низкая зарплата
?Особенности аутсорса
?Широкий круг задач
Передовой стек
Трендовый домен
Возможности роста
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (AI) (Python/PySpark/Databricks): Building a large-scale media intelligence platform and AI-powered audience analytics solutions with an accent on entity resolution, semantic matching, and production-grade machine learning workflows. Focus on designing scalable DataOps and MLOps pipelines, deploying reproducible models, and processing billion-row datasets across TV, digital, and connected-device data.
Location: Poland, Portugal, or The Netherlands. Fully remote, office-based, or hybrid work is available.
Salary: EUR 2,225–4,550 gross per month, depending on experience, location, and professional growth.
Company
hirify.global is a global technology provider delivering data analytics and AI-powered solutions for organizations across multiple industries.
What you will do
Own end-to-end delivery of complex data science projects, from problem definition and solution design to production deployment.
Build production-quality Python and PySpark solutions on Databricks for large-scale data processing.
Develop ML and AI workflows for entity resolution, probabilistic record linkage, semantic similarity, embeddings, and LLM-augmented pipelines.
Apply DataOps and MLOps practices, including experiment tracking, pipeline orchestration, model monitoring, and reproducible deployment.
Create reusable tools, libraries, documentation, and technical solution specifications.
Review code, mentor junior data scientists, lead ML workshops, and collaborate with product, engineering, operations, and data engineering.
Requirements
3+ years of hands-on data science experience, including ownership of complex multi-sprint projects.
Bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, or another quantitative field; a Master’s degree is preferred.
Advanced Python skills and strong experience with SQL and PySpark, including billion-row datasets.
Hands-on Databricks experience with Workflows, Delta Lake, and job orchestration.
Knowledge of machine learning, experimental design, MLOps, Airflow-based orchestration, and reproducible model deployment.
Familiarity with RAG, LLM applications, vector databases, semantic search, AWS or GCP, and Intermediate+ English.
Nice to have
Knowledge of knowledge graphs, entity resolution, semantic data modeling, RDF, OWL, or SPARQL.
Experience with probabilistic record linkage, identity graphs, embedding-based matching, causal inference, A/B testing, or uplift modeling.
Background in media, ad tech, audience measurement, TV viewership, CTV/OTT, or privacy-constrained identity resolution.
Familiarity with Nielsen, Comscore, LiveRamp, or The Trade Desk.
Culture & Benefits
Choice of remote, office-based, or hybrid work.
Mentoring, onboarding, professional development, and career growth opportunities.
Corporate training portal and certification compensation for qualifications such as AWS and PMP.
Private health insurance and sports compensation, depending on the type of employment.
Annual bonus opportunity of up to EUR 1,000 per month based on expertise and participation in company activities.
Referral program and corporate social activities.
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