West Pharmaceutical Services, Inc
The Data Scientist, D&T will be part of a multidisciplinary team responsible for designing and developing innovative data-driven analytical solutions. This role will leverage advanced analytics, Machine Learning, NLP, Computer Vision, and Generative AI to address complex business challenges and deliver measurable value.
Job Summary
This role will be responsible for partnering with stakeholders to identify business challenges and develop data-driven solutions using ML, statistical modeling, or GenAI/Agentic AI. Essential Duties and Responsibilities
Partner with stakeholders to identify business challenges and develop data-driven solutions. Lead end-to-end model/agent lifecycles: from problem definition, data exploration, feature engineering, and model/agent design to deployment, monitoring, and continuous improvement. Ingest, integrate, and preprocess large-scale datasets, ensuring high standards of data quality and integrity. Develop and enhance scalable data pipelines and infrastructure. Drive development of specialized computer vision solutions for business-critical applications. Design and operationalize CI/CD and AgentOps workflows. Define, implement, and monitor evaluation metrics for both offline and production environments. Conduct error analysis, monitor live model/agent performance, and ensure compliance with AI governance and ethical standards. Create intuitive dashboards, reports, and data visualizations to communicate insights to stakeholders. Translate technical findings into actionable business recommendations. Collaborate closely with BI, engineering, and domain experts to operationalize data-driven solutions at scale. Awareness of compliance, SOPs, and ethical AI practices in enterprise environments. Working knowledge of CI/CD, MLOps and AgentOps practices. Education
Bachelor's or master's degree in computer science, Mathematics, Statistics, Data Science, or related quantitative field. Work Experience
3 - 6 years of relevant experience in data science, machine learning, or applied AI roles. Preferred Knowledge, Skills and Abilities
Strong proficiency in Python, SQL and prompt engineering for data manipulation, analysis, and querying large datasets. Context engineering and proficiency in executing GenAI projects at scale. Proficiency with Computer Vision libraries and frameworks. Familiarity with Generative AI and LLMs, including experience building Agentic-RAG pipelines. Solid understanding of how to evaluate/test ML & AI models. Exposure in building ETL pipelines and advanced feature engineering workflows for ML/AI. Strong foundation in statistics. Independent problem-solving skills, creativity, and the ability to prioritize in fast-paced environments. Strong collaboration and communication skills. Familiarity with cloud platforms (Azure preferred). Skilled in data visualization and BI tools (Power BI or equivalent). Agentic frameworks like lanGraph, AutoGen, CrewAI etc. Travel Requirements
10%: Up to 26 business days per year Physical Requirements
Sedentary-Exerting up to 10lbs/4kgs of force occasionally, and/or negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects.
#J-18808-Ljbffr
This role will be responsible for partnering with stakeholders to identify business challenges and develop data-driven solutions using ML, statistical modeling, or GenAI/Agentic AI. Essential Duties and Responsibilities
Partner with stakeholders to identify business challenges and develop data-driven solutions. Lead end-to-end model/agent lifecycles: from problem definition, data exploration, feature engineering, and model/agent design to deployment, monitoring, and continuous improvement. Ingest, integrate, and preprocess large-scale datasets, ensuring high standards of data quality and integrity. Develop and enhance scalable data pipelines and infrastructure. Drive development of specialized computer vision solutions for business-critical applications. Design and operationalize CI/CD and AgentOps workflows. Define, implement, and monitor evaluation metrics for both offline and production environments. Conduct error analysis, monitor live model/agent performance, and ensure compliance with AI governance and ethical standards. Create intuitive dashboards, reports, and data visualizations to communicate insights to stakeholders. Translate technical findings into actionable business recommendations. Collaborate closely with BI, engineering, and domain experts to operationalize data-driven solutions at scale. Awareness of compliance, SOPs, and ethical AI practices in enterprise environments. Working knowledge of CI/CD, MLOps and AgentOps practices. Education
Bachelor's or master's degree in computer science, Mathematics, Statistics, Data Science, or related quantitative field. Work Experience
3 - 6 years of relevant experience in data science, machine learning, or applied AI roles. Preferred Knowledge, Skills and Abilities
Strong proficiency in Python, SQL and prompt engineering for data manipulation, analysis, and querying large datasets. Context engineering and proficiency in executing GenAI projects at scale. Proficiency with Computer Vision libraries and frameworks. Familiarity with Generative AI and LLMs, including experience building Agentic-RAG pipelines. Solid understanding of how to evaluate/test ML & AI models. Exposure in building ETL pipelines and advanced feature engineering workflows for ML/AI. Strong foundation in statistics. Independent problem-solving skills, creativity, and the ability to prioritize in fast-paced environments. Strong collaboration and communication skills. Familiarity with cloud platforms (Azure preferred). Skilled in data visualization and BI tools (Power BI or equivalent). Agentic frameworks like lanGraph, AutoGen, CrewAI etc. Travel Requirements
10%: Up to 26 business days per year Physical Requirements
Sedentary-Exerting up to 10lbs/4kgs of force occasionally, and/or negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects.
#J-18808-Ljbffr