R1rcm seeks a Senior Data Scientist to lead sophisticated data science initiatives across the organization. You will be instrumental in converting business requirements into technical projects, driving our data strategy forward, and mentoring emerging talent.
What You'll Do
- 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.
- Build high-end analytic models, utilizing supervised and unsupervised learning models, to support decision makers with data-driven insights.
- Create informative and compelling visualizations that intuitively display large amounts of data and complex relationships.
- Translate data analytics into coherent reports and presentations for internal and external customers with varying technical expertise.
- Stay current with the latest advancements in data science, machine learning, and AI, and apply new techniques and tools as appropriate.
- Mentor and provide guidance to junior data scientists and analysts.
What We're Looking For
- A history of delivering data science projects, including data discovery, modeling, and application integration.
- Experience leading data science projects, including resource allocation, project estimation, and mentoring other staff members.
- Ability to facilitate converting business needs into technical projects.
- 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, NLP) and their real-world advantages and drawbacks.
- Excellent written and verbal communication with the ability to present results to teams of people, including executive stakeholders.
- Ability to work independently to resolve complex issues in creative and effective ways.
Nice to Have
- Advanced experience in statistics and applied mathematics.
- 2+ years of experience working in healthcare.
- 6+ years of experience utilizing machine learning models.
- Advanced knowledge working with Azure Machine Learning and notebook coding environments.
- Understanding of performance improvement techniques for extracting large datasets from SQL-based environments.
- Experience using Databricks for enterprise-scale datasets.
Technical Stack
- Languages: Python, SQL
- Cloud Platforms: Azure, AWS
- Tools: Azure Machine Learning, Databricks
Benefits & Compensation
- Annual salary range: $93,244.00 - $152,065.42
- Competitive benefits package.
- Annual bonus plan participation with a target of 10.00%.
Work Mode
This role is open to candidates based in the United States.
R1rcm is dedicated to the fundamentals of equal employment opportunity and providing a workplace free from harassment based on protected categories.
