Senior ML Research Scientist
Rad AI- Full Time
- Senior (5 to 8 years)
Candidates should possess a Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, and have a minimum of 5 years of experience in data science, with a strong focus on AI modeling. Experience with predictive and generative AI modeling techniques, including deep learning and natural language processing, is essential. Proficiency in programming languages like Python and Spark, along with experience using tools like Databricks, is required. Strong analytical and problem-solving skills are also necessary.
The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to address business challenges, conduct in-depth research to stay current with AI advancements, create Spark and Python code to retrieve and prepare data, develop, train, and evaluate AI models, deploy models into production, and continuously refine and optimize them for performance. They will also explore opportunities for generative AI models, integrate them into workflows, work with diverse data sets, and develop sophisticated visualizations of analysis output, ultimately driving innovation and improving user experiences within Baxter’s Connected solutions portfolio.
Provides essential medical products and services
Baxter International provides a wide range of medical products and services essential for healthcare. The company operates in several areas, including critical care, hospital care, nutritional care, renal care, and surgical care. Its products are used in various settings, from emergency rooms to home healthcare, helping to meet the needs of patients and healthcare professionals. Baxter develops, manufactures, and distributes medical devices, pharmaceuticals, and biotechnology products, generating revenue through sales to healthcare providers and institutions. A key aspect that sets Baxter apart from competitors is its recent acquisition of Hillrom, which enhances its ability to offer comprehensive healthcare solutions. The company's goal is to improve care outcomes and increase access to healthcare through continuous innovation and a focus on patient needs.