Data Scientist

About this role

Data Scientist Ten Month Contract Pale Blue Dot® Recruitment is recruiting a Data Scientist for a ten-month contract with a leading global organisation based in Galway. The successful candidate will join an EMEA Digital Solutions team responsible for using connected-product and telematics data to improve product performance, reliability and customer operations. This is a hands-on position for an experienced Data Scientist who can independently take an engineering or business problem from initial investigation through to a working analytical solution.

The successful candidate must be comfortable operating as the principal Data Scientist on assigned projects, without relying on another Data Scientist for day-to-day technical direction. Position Overview Through the implementation of its telematics strategy, our client collects extensive machine, sensor and operational data from refrigeration units operating around the world. The Data Scientist will analyze this data to identify meaningful patterns, develop predictive models and create practical solutions that improve product performance and help customers manage their transport operations more efficiently and reliably.

The role involves working with large structured IoT and telemetry datasets and applying machine learning, statistical modelling and data exploration techniques to real engineering and operational challenges. Core Areas of Responsibility Applied Machine Learning and Predictive Modelling Develop supervised machine-learning models for predictive maintenance, equipment failure prediction, anomaly detection and operational optimisation.

Carry out feature engineering, model selection, validation and performance evaluation. Develop appropriate approaches for imbalanced datasets, rare failure events and incomplete or uncertain ground-truth data. Apply statistical inference and supervised and unsupervised machine-learning techniques to identify meaningful patterns and predict equipment behaviour. Transform analytical outcomes into scalable and optimised solutions suitable for always-on production environments.

SQL Data Exploration and Feature Engineering Independently explore large structured IoT, telemetry, time-series and sensor datasets using advanced SQL. Identify relevant signals and create reliable modelling datasets by joining, cleaning and aggregating information from multiple sources. Investigate data quality, availability and limitations before selecting an appropriate analytical approach. Manipulate and visualise structured and unstructured datasets.