Senior Data Scientist

1. Senior Data Scientist, your primary responsibilities include: • Lead end-to-end data science initiatives, including data exploration, model development, validation, implementation, and support for mission-critical applications. • Collaborate closely with cross-functional data teams to automate data science pipelines and integrate models into business workflows and digital platforms. • Partner with business units in a consultative and collaborative manner, advising on the most effective approaches to leverage data science and Generative AI technologies to deliver innovative, high-impact solutions.

Key Elements We are looking for the following minimum qualifications for this role: • Master's with a minimum of 5 years' experience or Bachelor's with a minimum of 7 years' experience in Data science, Computer science, Statistics, Operations research, applied mathematics, applied physics or any related field; • Excellent analytical and problem-solving skills with the ability to approach challenges creatively • Strong communication skills to translate the findings into actionable business recommendations through rich data visualization; • Familiar with Agile methodologies and tools; • Self-driven and capable of working both independently and collaboratively within a team setting. • Experience in or strong understanding of the life science industry, particularly in leveraging data science to support operational excellence, is preferred.

Technical Expertise required: • Minimum of 5 years' hands-on experience processing, analyzing and modeling large and complex data sets. • Minimum of 3 years' experience with the full Machine Learning product lifecycle, with a demonstrated ability to take initiative and ensure proactive delivery of project milestones. • Minimum of 5 years' experience working with development toolsets such as SQL, PySpark, Python, Pandas or Scala. • Experience with Generative AI technologies for scientific document reading, summarization, and generation, including prompt engineering, retrieval pipelines, and LLM fine-tuning for domain-specific applications.