Boston Scientific Data Scientist II 

Ireland, Galway 

220890026

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Key Responsibilities:

• Collaborate with cross-functional teams to understand project requirements and objectives.
• Assess manufacturing processes for automation and analytics opportunities.
• Collect, clean, and preprocess large datasets from various sources, ensuring data quality and integrity.
• Develop and implement statistical models, machine learning algorithms, and data mining techniques to analyse data.
• Assist in designing and conducting experiments to test hypotheses and validate models.
• Generate and visualize insights from data analysis, creating detailed reports and presentations for stakeholders.
• Prepare and present technical data and recommendations at technical reviews.
• Continuously monitor and improve the performance of existing models and algorithms.
• Stay up-to-date with the latest advancements in data science, machine learning, and healthcare technology.

Qualifications:

• 3+ years of experience with a level 8 degree in Computer Science, Statistic, Engineering or a related field, OR 2+ years with a level 9 in the same discipline.
• Excellent proficiency in Python programming language as well as other languages (e.g. R, Matlab, Julia, C++, Java, etc.)
• Solid experience with data analysis and visualization tools such as Qlik, Power BI, Pandas, NumPy, Matplotlib, Plotly, Seaborn, or similar.
• Excellent familiarity with machine learning frameworks and libraries such as PyTorch, Scikit-learn, TensorFlow, or similar.
• Robust understanding of large language models (LLM) and frameworks including retrieval-augmented generation (RAG). (e.g. LangChain, LlaMA, GPT, Bard, etc.)
• Advanced understanding of statistical modelling, machine learning algorithms, and predictive analytics techniques with previous experience implementing said techniques to generate ROI.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Advanced understanding of database management systems.
• Experience with version control systems such as Git.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Ability to work independently as well as collaboratively in a team environment.