Lead Data Scientist required to set up and lead a new team of Data Scientists with Galway multinational.

To be considered for this role you must have several years experience in a Data Scientist role in industry AND have leadership experience. Graduates will not be considered for this role.


  • Lead and drive projects from start to finish, to develop insights to facilitate business decisions.
  • Build a team that can deliver our vision
  • Use cutting edge cloud technologies, state of the art Machine Learning techniques and complex statistical models to leverage data, drive decisions and improve predictability and optimisation at scale.
  • Collaborate with cross functional product, data and engineering teams to define problem statements and design analytical solutions.
  • Interpret results, create insights and translate problems into impactful metrics and visualisations.
  • Statistical data exploration, preparation


  • Degree/Masters in Data Science, Mathematics, Physics
  • Knowledge of tools like Python/R, Tableau and SQL
  • Breath ands depth of knowledge in the areas of Statistical computing languages as tools, conventional languages (C, Java, Python, SQL)
  • Sufficient knowledge of machine learning modeling techniques
  • Experience visualizing model outputs for engineers, customers and stakeholders
  • Experience in statistical inference, unsupervised machine learning, supervised machine learning, reliability/survivability models, and/or predictive maintenance
  • Good understanding of large-scale data mining and machine learning techniques for clustering, classification, regression, and anomaly detection
  • Ability to manipulate and visualize both structured and non-structured datasets
  • Project leadership, management of project team, sizing and estimation of project timelines and cost
  • Understanding of automotive engines and their performance would be an advantage to any candidate
  • Strong analytical skills relating to unstructured data sets
  • Strong experience modelling machine and behavioural data
  • Proficient with machine learning techniques
  • Experience with a wide variety of statistical computer languages and data mining tools
  • Hands-on experience with cloud based architectures and software stacks
  • Deep understanding of large always-on enterprise system architecture
  • Algorithim optimisation proficiency

Please contact Emer Smith in confidence



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