Role Description As a Senior Data Scientist, you will lead and drive the development and implementation of our Machine Learning (ML) and Large Language Model (LLM) based capabilities, overseeing the lifecycle of data science projects. Your role will involve the development and refinement of models, the guidance of junior data scientists, and the collaboration with cross-functional teams to innovate and scale our data science initiatives. Responsibilities - Strategic Data Insights and Model Development: - Spearhead data collection, analysis, and advanced model development, focusing on classification, deep learning, and innovative techniques. - Define and assess quality metrics, presenting high-level insights to stakeholders while guiding junior team members. - Advanced Production Solutions: - Design and oversee the creation of sophisticated, production-ready Python libraries for data science pipelines. - Collaborate extensively with technology teams to ensure seamless deployment and scalability. - End-to-End Integration and Quality Assurance Leadership: - Take charge of integrating data science components and conducting rigorous quality assessments, leveraging expertise in large language models. - Establish resilience against model drift and develop comprehensive maintenance strategies, including automated model re-training protocols. - Performance Evaluation and Strategic Development: - Develop comprehensive reporting mechanisms for pipeline performance and lead in the implementation of automatic re-training strategies for existing pipelines, ensuring continuous optimization. Qualifications - Minimum of 4 years of relevant applied experience and a master’s degree or higher in computer science, data science, artificial intelligence, mathematics, statistics, or related quantitative fields. Alternatively, at least 5 years of relevant experience. - Considerable experience leading complex data science projects is highly valued. - Demonstrated expertise in Python, with a proven track record of delivering high-quality, production-ready code following best practices, while mentoring junior team members in this aspect. - Extensive hands-on experience in advanced classification, regression, clustering, and deep learning techniques. - Mastery in neural networks, large language models, and cutting-edge ML algorithms. - Expertise in Scikit-learn, PyTorch, and/or Tensorflow at an advanced level. - Mastery in utilizing and integrating large language models for sophisticated natural language processing tasks. - Mastery in data processing, cleaning, and analysis, with advanced expertise in tools like Pandas, NumPy, Matplotlib, and SciPy. - Exceptional communication and presentation skills, especially in conveying complex data science concepts to both technical and non-technical stakeholders. - Demonstrated ability to strategically solve complex problems and translate intricate requirements into effective solutions. - Demonstrated commitment to continuous learning and a keen interest in mentoring junior team members, driving innovation, and staying updated in MLOps and data science productionization. Requirements - Minimum of 4 years of relevant applied experience and a master’s degree or higher in computer science, data science, artificial intelligence, mathematics, statistics, or related quantitative fields. Alternatively, at least 5 years of relevant experience. - Considerable experience leading complex data science projects is highly valued. Benefits - Dutch Share Purchase Plan - Annual Profit Share Bonus - Comprehensive Pension Plan - Home, office or commuting allowance - Generous vacation entitlement and option for sabbatical leave - Maternity, Paternity, Adoption and Family Care leave - Flexible working hours - Personal Choice budget - Variety of online training courses and career roadshows - Wellbeing programs and gym facility in the office - Internal communities and networks - Various employee discounts - Recruitment introduction reward - Work from anywhere - Employee Assistance Program (global) - Annual Event