Data Scientist - Core Analytics

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Requirements:

• A good understanding of machine learning and experience training and evaluating machine learning models.
• Experience integrating data science models into products, with testing, and maintaining those models long term.
• Proficiency using Natural Language Processing techniques for solving problems, ideally including Large Language Models
• Proficiency in Python, particularly with machine learning and data science libraries such as PyTorch, scikit-learn, numpy and scipy.
• Good communication and interpersonal skills.
• Experience working with large-scale data processing systems such as Spark and Hadoop.
• Experience in software development in agile environments and an understanding of the software development lifecycle.
• Experience using or implementing ML Operations approaches is valuable.
• Working knowledge of statistics and experience with producing data visualisations.

Responsibilities:

• Carry out data analysis tasks to develop Ripjar’s understanding of relevant data.
• Make use of Ripar’s large-scale data processing and analysis infrastructure to analyse data sets in order to identify patterns and to produce statistical outputs to support the development of new analytics and models.
• Develop and evaluate machine learning models to enhance Ripjar’s software and data products.
• Integrate these models into our software and consider the lifecycle and practical use of each model.
• Work with Ripjar's Data Engineers and engineering teams to support the scaling up and integration of new analytics and models into Ripjar's products and data processing pipelines.
• Produce statistical tests and summarise test outputs.
• Document analytics, models and test methodologies.
• Provide support to stakeholders in understanding analytics, models and test results.
• Support and maintain your models in production.