Ref No: DT17974
County Mayo, Republic of Ireland
Data Scientist - County Mayo.
In this role you will be responsible for discovering the information hidden in vast amounts of data and supporting the business in making smarter decisions, thereby driving significant business efficiencies. The primary focus will be in applying data mining techniques, doing statistical analysis, building high quality prediction systems and collaborating with key business stakeholders to optimise and streamline reporting and metrics, and implement solutions to create better business value.
Work on the process of translating technical objectives into defined problems that can be solved by applying data science.
Design algorithms to address current technical problems.
Work closely with other Team members to apply advanced analytics, modelling and simulation to replicate and anticipate issues.
Uncover new technical problems that need to be solved and support better decision-making.
Communicate data analysis and insights using rich visualization tools (e.g. Tableau; MicroStrategy; R; Power BI) and leverage data to present compelling cases to optimise solutions.
Perform exploratory data analysis, generate and test working hypothesis, and uncover important trends and relationships.
Provide expertise on mathematical concepts and inspire adoption of advanced analytics.
Interested applicants should have:
A recognised Degree in Applied Statistics, Maths or a related quantitative discipline.
Master’s Degree in applied statistics, applied maths, or related quantitative discipline preferred.
Minimum of 2 years' relevant experience
Experience with relational databases, information and insights.
Experience with modelling software, data mining techniques and methodologies.
Experience with visualisation software (Tableau, MicroStrategy).
Experience leveraging cloud platforms and developing in SQL.
Superior critical thinking, analytical and problem-solving skills.
Passionate, creative and forward-thinking individual.
Must be able to communicate complex solutions to non-technical stakeholders in a way that can easily be understood.