Data Scientist (10-Month Contract)

Careerwise Recruitment; Galway; On-site; EUR 70,000 - 100,000; Full time

Job summary

CareerWise Recruitment is seeking a Data Scientist for our Irish client on a 10-month agency contract, based on-site at a leading Galway manufacturing facility. The role offers opportunities to innovate with data mining and machine learning to gather insights and drive decisions.

You will apply statistical modelling, clustering, regression and anomaly detection, collaborating with data, product and engineering teams, and will translate complex results into impactful metrics for engineers,

Qualifications

• Degree/Masters in Data Science, Mathematics, Physics.
• 3 – 5 years professional experience.
• Sufficient knowledge of machine learning modelling techniques, and experience visualizing model outputs for engineers, customers and stakeholders.
• Degree level Qualification in a related discipline. Further education an advantage.
• Communicate compellingly. Convert insights from analytics to stories. Be an advocate for data science and machine learning, and how to create new capabilities and drive transformation.
• 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.

Responsibilities

• 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.
• Lead and drive projects from start to finish, to develop insights to facilitate business decisions.
• 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, modelling, prediction, clustering, analysis and reporting.

Skills

Machine Learning

Data Visualization

Statistical Inference

Data Mining

Education

Degree/Masters in Data Science, Mathematics, Physics

Job description

Job Overview

A Data Scientist is required by CareerWise Recruitment for our Irish based client on a 10-Month Agency Contract and will be based on-site in a leading Galway Manufacturing facility. The Data Scientist role you will have strong opportunities for both technical and personal growth, where you will be empowered to have the freedom to innovate, using data mining and Machine Learning technologies to gather data insights.

Key Responsibilities

• 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.
• Lead and drive projects from start to finish, to develop insights to facilitate business decisions.
• 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, modelling, prediction, clustering, analysis and reporting.

Job Requirements

• Degree/Masters in Data Science, Mathematics, Physics.
• 3 – 5 years professional experience.
• Sufficient knowledge of machine learning modelling techniques, and experience visualizing model outputs for engineers, customers and stakeholders.
• Degree level Qualification in a related discipline. Further education an advantage.
• Communicate compellingly. Convert insights from analytics to stories. Be an advocate for data science and machine learning, and how to create new capabilities and drive transformation.
• 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.