Data Scientist, Digital Products

Who is USP

The U.S. Pharmacopeial Convention (USP) USP is an independent scientific organization that collaborates with the worlds top experts in health and science to develop quality standards for medicines dietary supplements and food ingredients. USPs fundamental belief that Equity Excellence manifests in our core value of Passion for Quality through our more than 1100 talented professionals across five global locations to deliver the mission to strengthen the supply of safe quality medicines and supplements worldwide.

Brief Job Overview

The Digital Product Engineering team at USP is seeking aData Scientistwith expertise in artificial intelligence (AI) machine learning (ML) and Generative AI (GenAI) to drive innovation and data-driven decision-making. This role is critical to supporting projects that align with our mission to protect patient safety and improve the health of people around the world.

We are looking for a professional who understands the power of data and enjoys uncovering insights through advanced modeling experimentation and the application of cutting-edge AI techniques. The ideal candidate will be passionate about solving complex problems using data developing intelligent systems and leveraging GenAI approaches such as Retrieval-Augmented Generation (RAG) prompt engineering and large language models (LLMs) to deliver impactful solutions across the organization.

How will YOU create impact here at USP

The positions purpose should provide a high-level overview of why the position exists and briefly identify the most critical priorities of the position. This is an opportunity to highlight any features or duties of the role related explicitly to the Diversity Equity Inclusion & Belonging work of the Department.

• Design develop and deploy AI/ML models to solve business and scientific problems with a focus onGenerative AIapplications.
• Collaborate with data engineers to access clean and prepare large-scale datasets for modeling and experimentation.
• Conduct exploratory data analysis (EDA) hypothesis testing and feature engineering to support model development.
• Evaluate model performance using appropriate metrics and iterate to improve accuracy robustness and fairness.
• Translate complex analytical findings into clear actionable insights for stakeholders across product engineering and business teams.

Who USP is Looking For

The successful candidate will have a demonstrated understanding of our mission commitment to excellence through inclusive and equitable behaviors and practices ability to quickly build credibility with stakeholders along with the following competencies and experience:

Education

Bachelors degree in relevant field (e.g. Engineering Analytics or Data Science Computer Science Statistics) or equivalent experience.

Experience

• 0-3 years of experience in data science with a strong focus onArtificial Intelligence (AI) includingMachine Learning (ML)Deep Learning andReinforcement Learning.
• Hands-on experience withGenerative AI includingLLMsRAGprompt engineering andvector databases(e.g. FAISS Pinecone).
• Strong programming skills in Python PySpark. Proficiency inML libraries such asscikit-learnTensorFlowPyTorchHugging Face Transformers etc.
• Strong SQL skills for data extraction transformation and analysis.
• Experience withdata visualizationtools (e.g. Power BI Tableau Plotly) to communicate insights effectively.
• Strong understanding of model evaluation interpretability and deployment in production environments.
• Familiarity with cloud platforms such asAzureAWS orGCP for AI/ML workloads.
• Work closely with different stakeholders: Business owners users product managers program managers architects engineering managers & developers etc. to translate business needs and product requirements to well-documented data science solutions.

Additional Desired Preferences

• Experience with scientific chemistry nomenclature or prior work experience in life sciences chemistry or hard sciences or degree in sciences
• Experience with pharmaceutical datasets and nomenclature
• Experience withMLOpstools and practices (e.g. MLflow Kubeflow Azure ML)
• Strong communication skills required: Verbal written and interpersonal

Supervisory Responsibilities:

No

Benefits

USP provides you with the benefits you need to protect yourself and your family today and tomorrow. From company-paid time off comprehensive healthcare options to retirement savings you can have peace of mind that your personal and financial wellbeing is protected.

Required Experience:

IC