Principal Data Scientist Engineer
Core
Lead end-to-end design and delivery of high-impact data science and AI solutions, translating complex data into clear decisions for product owners and business stakeholders.
Role type
Principal Data Scientist Engineer (AI/ML)
Builds
Machine learning and AI solutions deployed on cloud infrastructure
Domain
Biopharma / Life Sciences
Deliverable
production ML models
Required skills
Python, scikit-learn, Pyorch, TensorFlow, SQL, cloud platforms (AWS/Azure/GCP), model deployment, model validation, bias awareness, technical communication
Preferred skills
Large language models, generative AI, MLOps/LLMops, retrieval-augmented generation, vector databases, multi-modal models, healthcare domain experience
Technologies
PyTorch, TensorFlow, AWS, Azure, GCP
Responsibilities
Lead end-to-end development of ML/AI solutions from problem definition to production; Translate business questions into technical approaches; Build, evaluate, and validate models using supervised, unsupervised, and deep learning; Partner with engineering teams to deploy and monitor models; Mentor and coach data scientists; Promote responsible and reproducible AI practices
Seniority
Principal, hands-on IC with mentorship
