Ph.D. in a quantitative discipline such as software engineering computer science statistics biostatistics or supply chain. Or an equivalent educational background of M.S. with 3 years or B.S. with 5 years of experience of building AI/ML solutions.
Experience in building endtoend data products taking products from POC stage through the full product life cycle including operationalization and scaling.
Proficiency in one or more programming languages such as Python or R along with ociated machine learning packages such as TensorFlow PyTorch and Keras.
Experience in setting up configuring and managing CI/CD pipelines to ensure smooth and efficient software development workflows. Specifically working with frameworks such as Docker Kubernetes Helm Jenkins and Gitlab.
Experience working in multiple software development frameworks such as Agile.
Strong expertise in building and deploying machine learning models such as generalized linear regression logistic regression XGBoost random forest neural networks NLP GenAI or large language model (LLM).
Proven experience shaping AI and ML solutions in close partnership with business stakeholders based on business needs.
Preferred Qualifications:
Proven success in applying Data Science and ML Engineering ods to solve Commercial problems in the Pharma Industry.
Experience working in a fastpaced environment with competing priorities multiple stakeholders matrixed teams and evolving needs.
Experience working in crossfunctional teams to deliver outstanding results.
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