As part of the PDT DD&T (Plasma Derived Therapies Digital, Data & Technology) team, you will leverage advanced analytics to deliver data-driven solutions and insights that drive impactful business outcomes.
Requirements
Solid understanding of current and emerging AI/Advanced Analytics technologies.
Expertise in the areas of Data, Data Modeling, Statistical Methods, Quantitative Techniques, and AI/ML preferred.
Familiarity with Analytics processes and service models.
Solid understanding of applied statistical and math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing.
In depth experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks.
Experience in a matrix organization collaborating with different teams including data engineering, enterprise architecture, platform architecture, and other application teams.
Leverage advanced technologies such as AI/ML and effective statistical models to drive business results.
Responsibilities
Assist Data Science team members in addressing complex problems, conducting data analysis, and developing cutting-edge analytics solutions tailored to business needs.
Translate business processes and requirements into actionable solutions by thoroughly understanding analytics drivers and data to be modeled, applying the most suitable quantitative techniques to solve challenges effectively.
Design, develop, deploy, and operationalize advanced statistical methods, data science techniques, and Artificial Intelligence (AI/ML) solutions to enhance and optimize business operations.
Monitor, evaluate, and refine data, analytics models, and experiments periodically to validate hypotheses, ensuring alignment with evolving business goals and continued delivery of value.
Collaborate closely with cross-functional teams to embed data-driven insights into business strategies, processes, and operations, fostering data-centric decision-making across the organization.
Guarantee the seamless, efficient, and timely delivery of statistical, data science, and AI/ML solutions, ensuring they meet high-quality standards and drive measurable impact.
Design, develop, and implement decision-support solutions leveraging advanced statistical methodologies, data science/machine learning (ML), and a variety of quantitative techniques (e.g., simulations, mathematical modeling, etc.) to address complex business challenges effectively.
Other
We are seeking skilled, proactive and motivational Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models.
Working closely with fellow data scientists on the team, as well as other team members from the Enterprise Data Science Community of Practice to advance best practices and knowledge sharing.
You will report directly to the Data Science Lead, who will provide strategic direction.
Strong business acumen with knowledge of healthcare and retail operations.
Provide guidance to junior team members and novice business users.
