Senior Data Scientist - AI Modeling
Baxter International- Full Time
- Senior (5 to 8 years)
Candidates must possess a Ph.D. in Statistics, Computational Finance, Economics, Mathematics, Computer Science, or a related quantitative field, along with a minimum of 2 years of academic or employment experience leveraging statistics and machine learning techniques to inform business strategy. Experience must include at least 2 years with frameworks for developing machine learning models, 2 years with tree-based machine learning models (including XGBoost and LGBM) and deep neural networks (including convolutional neural networks and recurrent neural networks), 2 years with technical collaboration tools, including GitHub, 2 years with programming languages, including R and Python, 1 year translating business needs into analytics problems, and 1 year managing and processing large data sets, including data cleaning, augmentation, and annotation.
The Data Scientist will provide data analytics, statistics, and machine learning support for healthcare provider (HCP) sales and marketing operations, leveraging artificial intelligence and machine learning (AI/ML) techniques to develop analytics solutions and inform business strategy. They will develop data modeling capabilities to provide insights on marketing mix, attribution, channel and spend optimization, and prescriptive analytics, build model pipelines and integrate results into business outcomes, scale current data pipelines and increase automation of AI/ML deliverables, and ensure alignment of AI/ML techniques with stakeholder objectives and goals.
Develops and delivers prescription medicines globally
Eli Lilly and Company is a global pharmaceutical company that focuses on discovering, developing, and delivering medicines to improve health. The company has a long history of scientific achievements, including the creation of insulin, the first life-saving treatment for diabetes. Lilly's operations involve extensive research and development to create new medications and enhance existing ones, ensuring they are safe and effective. Their products are primarily prescription medicines sold to healthcare providers for various medical conditions, including diabetes, cancer, and pain management. What sets Lilly apart from its competitors is its strong commitment to ethical practices and the protection of its products from counterfeiting. The company's goal is to enhance lives through innovative medical solutions while maintaining high standards of quality and ethics.