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Data Science Engineer
1 semana atrás
With over 200 workers and a strong presence in the Portuguese market, ADENTIS is a growing company that values its employees. Our People First approach ensures that our employees feel valued and supported, which is reflected in our emotional salary package. This includes great work-life balance, flexible organizational routines, and many other perks.
Responsibilities
The ideal candidate will have a proven track record in developing and implementing machine learning models tailored to CRM and platform contexts. They will design and deploy models for retention use cases, anomaly detection, regression analysis, and other predictive analytics tasks, and create and manage automated data pipelines for efficient data processing and model deployment. They will also ensure seamless integration of machine learning models into existing systems and workflows, and troubleshoot and resolve data-related issues promptly.
Requirements
A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field is required. Proven experience as a Machine Learning Engineer or similar role, with a focus on CRM and platform-based solutions, is necessary. Strong proficiency in developing machine learning models, particularly for retention use cases, anomaly detection, and regression analysis, is essential. Experience with pipeline automation and data flow monitoring, hands-on experience with Azure Databricks for data processing and machine learning tasks, and familiarity with cloud infrastructure management, preferably within the Azure ecosystem, are highly desirable.