Data Scientist / Hybrid Dublin 3 days Onsite, 2 days remote / 6-12 months / Start ASAP Experience: 8+ years Key responsibilities: Oversee the management of data pipelines and data storage systems required for model training and inference.
Optimize ML infrastructure for scalability and cost-effectiveness.
Enforce security best practices to safeguard both the models and the data they process.
Ensure compliance with industry regulations and data protection standards.
Work closely with data scientists, software engineers, and other stakeholders to understand model requirements and system constraints.
Collaborate with DevOps teams to align MLOps practices with broader organizational goals.
Continuously optimize and fine-tune ML models for better performance.
Key Skills: Demonstrate a proven ability to successfully manage data engineering and analytics projects from conception to deployment.
Must have extensive agile based delivery experience.
Applied knowledge of data technologies, Cloud and relevant data science or engineering framework such as (e.g.
Hadoop, Spark, Google Vertex AI, scikit-learn, TensorFlow, Spark, etc) Data Preparation (e.g.
SQL, ETL), Programming (e.g.
Python, PySpark) and Modelling (e.g.
machine learning, text analytics, or NLP) Excellent organisational & communication skills Seniority level Mid-Senior level
Employment type Contract
Job function Information Technology
Industries IT Services and IT Consulting
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