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Predictive model developer

Lisboa
beBeeDataScientist
Modelista
Anunciada dia 28 agosto
Descrição

Job Title

We are looking for a skilled Data Scientist to join our team at Mollie.

The primary focus is on developing predictive ML models that provide decision intelligence to colleagues in various domains.

* Develop and maintain ML models for GTM Optimization Domain use cases, ensuring smooth deployment and measurable value to stakeholders.
* Perform efficient exploratory data analysis (EDA) and present key insights to colleagues and stakeholders.
* Adopt best practices and standards for robust ML model development.
* Collaborate closely with MLEs to prepare code and models for production using our ML Platform.
* Contribute regularly to bi-weekly DS Community of Practice knowledge sharing sessions.

Key Responsibilities:

* Develop and maintain ML models for GTM Optimization Domain use cases, ensuring smooth deployment and measurable value to stakeholders.
* Perform efficient exploratory data analysis (EDA) and present key insights to colleagues and stakeholders.
* Adopt best practices and standards for robust ML model development.
* Collaborate closely with MLEs to prepare code and models for production using our ML Platform.
* Contribute regularly to bi-weekly DS Community of Practice knowledge sharing sessions.

Requirements:

* 1-3 years experience in data science and machine learning, including successful production-ready models.
* Expertise in applied ML on structured data, regression, and classification problems using boosted decision tree algorithms.
* Basic experience with Generative AI, especially leveraging GenAI in non-chat applications.
* Structured approach to complex problems, prioritizing pragmatic solutions.
* Understanding of technical and non-technical constraints of business problems.
* Detail-oriented with ability to shift priorities quickly.
* Collaborative team environment experience.
* Great presentation skills and wide audience adaptability.
* Strong foundation in statistics.
* Solid software engineering skills and Python proficiency.
* Comfortable working in Linux shell and Git version control.
* Familiarity with scikit-learn API and agile Way of Working.

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