R1 is looking to solve complex business problems within the healthcare system by leveraging data science, advanced statistical modeling, and machine learning. The goal is to transform the patient experience and financial performance of hospitals, health systems, and medical groups through data-driven insights and technological solutions.
Requirements
- Experience using Python to program machine learning models.
- Experience using SQL to extract, load, and transform data at scale.
- Knowledge of deploying models and reports into cloud-based environments (Azure, AWS, etc.).
- Advanced knowledge of machine learning modeling techniques (clustering, decision tree learning, and NLP) and their real-world advantages/drawbacks.
- Advanced experience in statistics and applied mathematics.
- 6+ years of experience utilizing machine learning models.
- Advanced knowledge working with Azure Machine Learning and notebook coding environments.
Responsibilities
- Conduct sophisticated exploratory data analysis to identify trends and patterns.
- Develop, implement, and refine advanced statistical models and machine learning algorithms to solve complex business problems.
- Lead the collection, cleaning, and preprocessing of large and complex datasets from multiple sources.
- Lead and manage data science projects from conception to deployment, ensuring timely delivery and high quality.
- Provide strategic insights and recommendations based on data analysis to support business decision-making.
- Collaborate with IT to prepare and manipulate structured and unstructured data for data discovery and mining from multiple disparate resources.
- Build high-end analytic models, utilizing supervised and unsupervised learning models, to support decision makers with data-driven insights that address immediate business problems and objectives.
Other
- Lead complex projects across multiple business lines, provide strategic insights to internal and external stakeholders, and mentor junior team members.
- Demonstrating an understanding of machine learning concepts, data engineering techniques, and presentation-ready reporting.
- Facilitate converting business needs into technical projects and have demonstrated experience in meeting deadlines and delivering high-quality work, solving complex problems.
- Excellent written and verbal communication with the ability to present results to teams of people, including executive stakeholders.
- Can work independently to resolve complex issues in creative and effective ways.
