Data Scientist

Job not on LinkedIn

🕒 July 9

🇮🇪 Ireland – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 34%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Castillians

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2006

Castillians is a company whose publicly available text is inaccessible without JavaScript; the provided content only shows a message asking the user to enable JavaScript. No information about the company's product, services, industry, or target customers can be determined from this text alone.

📋 Description

• Develop and deploy data science solutions using statistical analysis, machine learning, and predictive modelling techniques. • Analyze large datasets to uncover valuable insights, trends, and business opportunities. • Design and implement strategies for developing and maintaining Data Science models. • Build and maintain internal reporting solutions, dashboards, and analytical tools to support business operations. • Develop standardized client-facing analytical products, dashboards, and predictive models. • Extract, prepare, and process data efficiently to meet business objectives and project timelines. • Operationalize Data Science models by developing, deploying, and integrating web services and APIs. • Monitor, maintain, and continuously improve existing Data Science processes and models. • Research and evaluate new analytical techniques, BI tools, and machine learning methodologies. • Collaborate with business stakeholders and cross-functional teams to understand requirements and deliver impactful data solutions.

🎯 Requirements

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. • At least 5 years of experience in Data Science, Data Analytics, or Machine Learning. • Experience delivering business-focused analytical solutions is highly preferred. • Proven experience with Python and/or R for data analysis and statistical modelling. • Strong SQL skills with experience querying relational databases. • Experience performing statistical analysis using SQL/USQL. • Experience building dashboards and visualizations using tools such as: Power BI, R Shiny, Dundas BI, ggplot, Other Python or R visualization libraries. • Experience deploying Data Science models into production environments through APIs or web services. • Knowledge of modern BI, Machine Learning, and analytical tools from both backend and frontend perspectives. • Experience with Microsoft Azure is highly desirable.

🏖️ Benefits

• Clear scope with no ambiguity over deliverables • Opportunity for repeat engagements based on performance