Data Scientist

Data Scientists at the client transform data into efficient operations, better decisions, and greater patient access to life-saving therapies. Partnering with business leaders, this role uncovers insights from complex data, builds predictive models, and applies statistical and machine learning/AI techniques to improve Plasma Operations. Primary Responsibilities

• Business Partnership: Collaborate with Plasma Operations stakeholders to identify operational challenges, frame analytical questions, define success metrics, and present actionable recommendations to technical and non-technical audiences.
• Solution Development: Translate business needs into analytical approaches, manipulate complex datasets, and apply statistical, machine learning, optimization, and AI methods.
• Value Creation & MLOps: Build, validate, deploy, and maintain analytical models. Partner with engineering/MLOps teams to scale models using modern software practices (version control, testing, documentation).
• Innovation & Continuous Improvement: Monitor model performance, evaluate emerging AI/analytics methodologies, and share knowledge across the team.

• Bachelor’s degree + 4 years of analytical experience, OR Master’s degree + 2 years of experience (or PhD/equivalent).
• Technical Skills: Hands-on experience with Python, R, SQL, or related data science tools.
• Data Expertise: Proven capability working with large, complex, and imperfect real-world datasets.
• Communication: Strong ability to translate complex technical findings into clear business insights for diverse stakeholders.
• Pluses: MLOps experience, AI/generative AI exposure, and previous background in pharma, biotech, or life sciences.