Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная зона ответственности от исследования данных до сопровождения моделей, а сочетание масштабного ML и GenAI выглядит перспективно; при этом консалтинговый формат и три офисных дня ограничивают гибкость.
?Проектный формат
Актуальный стек
Ответственность за цикл
?Три дня в офисе
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist (GenAI): Delivering end-to-end data science solutions for a banking project in a financial company with an accent on Python, large-scale data processing, and model lifecycle management. Focus on building machine learning and deep learning models, monitoring performance through dashboards, and contributing to GenAI initiatives alongside traditional data science work.
Location: Lisbon, Portugal; hybrid work with 3 days per week at the office
Company
hirify.global is a technology and strategy firm specializing in digital transformation, IT consulting, and nearshore team augmentation across Portugal and Poland.
What you will do
Own data science projects end to end, from data exploration and problem formulation through modeling, evaluation, and handoff to the MLOps team for production deployment.
Engage with business stakeholders, translate requirements into data science problems, and communicate results clearly.
Develop clean, reusable, production-quality Python code using object-oriented programming principles.
Process large-scale Data Lake data and develop models with PySpark and Databricks.
Define and monitor model performance metrics, build dashboards, and manage continuous model maintenance and improvement.
Contribute to GenAI initiatives alongside traditional data science projects.
Requirements
Hands-on experience delivering end-to-end data science projects from data exploration through solution deployment.
Strong Python skills, including object-oriented programming and reusable, production-quality functions.
Experience with PySpark and big data processing environments.
Solid knowledge of machine learning and deep learning algorithms.
Strong foundation in exploratory data analysis and applied statistical methods.
Experience defining model monitoring strategies and building performance dashboards.
Ability to work autonomously and take ownership from requirements gathering through final delivery.
Strong communication skills and experience engaging directly with business areas.
Nice to have
Experience with Databricks and MLflow.
Exposure to GenAI projects, including partial experience.
Culture & Benefits
Hybrid work in Lisbon with 3 office days per week.
Work on a banking project for a financial company.
Exposure to both traditional data science and GenAI initiatives.
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