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1 день назад

Senior Data Scientist

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Scientist (Python/ML): Collect and analyze large datasets to uncover insights and develop analytical solutions for credit life cycle, risk management, fraud modeling, and marketing with an accent on data processing, machine learning models, and big data platforms. Focus on optimizing data delivery, creating visualizations, applying statistical techniques, and solving business problems through predictive algorithms.

Location: Madrid, Hybrid

Company

hirify.global is a global data and technology company powering opportunities in financial services, healthcare, automotive, and more, with 22,500 people across 32 countries.

What you will do

  • Implement processes to clean, transform, and organize raw data for analysis
  • Enhance data delivery, automate manual processes, and analyze large volumes of structured/unstructured data for trends and patterns
  • Create visual reports to clarify business pain points using big data platforms like Databricks and Cloudera
  • Develop machine learning models and predictive algorithms to solve business problems
  • Apply statistical techniques, programming languages, and domain tools for accurate analysis
  • Communicate with clients and internal teams, identify process issues, and take ownership for resolutions

Requirements

  • Fluency in written and spoken English
  • 5+ years of statistical/analytical project work, preferably in financial services or telco
  • Degree in computer science, data science, statistics, mathematics, IT, physics, or related
  • Strong proficiency in Python (Pandas, NumPy, ML packages) for analysis, advanced analytics, and automation; PySpark is a plus
  • Knowledge of R, SQL, cloud platforms (Databricks, Cloudera, Snowflake), Power BI, and statistical techniques
  • Innovative mindset focused on solving data and analysis problems

Nice to have

  • Knowledge or experience with Generative AI (LLMs, RAG, prompt engineering, information retrieval)
  • Familiarity with credit-related topics (issuing, monitoring, Bureau data) and regulatory frameworks (Basel, IFRS 9)

Culture & Benefits

  • Great compensation package and bonus plan
  • Private health care, hirify.global wellness program
  • Flexible schedule and hybrid teleworking model
  • Flexible time off including volunteer time, personal leaves, and paid holidays
  • Focus on DEI, work/life balance, development, collaboration, and wellness

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