As part of the PDT DD&T (Plasma Derived Therapies Digital, Data & Technology) team, leverage advanced analytics to deliver data-driven solutions and insights that drive impactful business outcomes.
Requirements
- 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.
- 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.
- Leverage advanced technologies such as AI/ML and effective statistical models to drive business results.
- Harvest enterprise analytics platforms and tooling to support BI solutions.
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
- Minimum of 1 - 3 years of solid experience in statistics, quantitative methods (e.g. math modelling, simulation, etc.) and AI/ML/Data science experience in Life Sciences, Pharma, Biotech, technology companies or relevant regulated industries.
- Experience in a matrix organization collaborating with different teams including data engineering, enterprise architecture, platform architecture, and other application teams.
- Excellent written and verbal communication skills including the ability to interact effectively with multifunctional teams.
- Strong business acumen with knowledge of healthcare and retail operations.
- Provide guidance to junior team members and novice business users.
