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Data Science Expert

hace 2 meses


Gasteiz Vitoria, Álava, España Importante Empresa A tiempo completo
About the Role

At Importante Empresa, we're driving innovation to create a healthier, more sustainable future for everyone. As pioneering innovators, we're transforming our organization to be faster, simpler, and more connected. Our goal is to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.

Key Responsibilities
  • Collect, extract, and wrangle data to identify opportunities through insight from data.
  • Develop custom data models and algorithms applied to different data sets based on business requirements.
  • Develop processes and tools to monitor, assess, and analyze algorithm, model performance, and data accuracy.
  • Develop testing frameworks and test model quality.
  • Coordinate with different business units to implement models or processes and tools.
  • Develop governance and framework to establish analytics practice across the organization.
Requirements
  • General Qualifications:
    • Innovative, proactive, creative, well-organized, and able to easily adapt to various technologies.
    • Strong analytical skills and logical reasoning; attention to details; process-oriented.
    • Great interpersonal skills and excellent oral and written communication skills.
    • Comfortable in a very fast-paced environment and transforming organization.
    • Willingness to train and educate resources on data science topics.
  • Technical Qualifications:
    • Master's Degree in Statistics, Mathematics, Data Science, Computer Science or a related discipline with 3+ years of experience in data/computational focus.
    • Experience using programming languages such as Python and SQL.
    • Experience using visualization tools such as Tableau and PowerBI.
    • Strong knowledge of advanced statistical methods, predictive and prescriptive methods.
    • Preferably with expertise in deep learning, recommender systems, and NLP/Computational Linguistics.
    • Background in handling big data.
    • Strong track record of manipulating, processing, and extracting data from large databases.