R 1 is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems and medical groups. We are the one company that combines the deep expertise of a global workforce of revenue cycle professionals with the industry’s most advanced technology platform, encompassing sophisticated analytics, AI, intelligent automation, and workflow orchestration.
As our Senior Data Scientist, you will lead complex projects across multiple business lines, provide strategic insights to internal and external stakeholders, and mentor junior team members. Each day, you will use a proactive approach to drive data initiatives and contribute significantly to R1’s data strategy, demonstrating an understanding of machine learning concepts, data engineering techniques, and presentation-ready reporting. You will facilitate converting business needs into technical projects and have demonstrated experience in meeting deadlines and delivering high-quality work, solving complex problems. To thrive in this role, you must have extensive experience in data science, advanced statistical modeling, and machine learning.

REQUIRED SKILLS:

• 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.
• Can 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, and NLP) and their real-world advantages/drawbacks.
• 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.

PREFERRED QUALIFICATIONS:

• 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.
  For this US-based position, the base pay range is $93,244.00 - $152,065.42 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.
  This job is eligible to participate in our annual bonus plan at a target of 10.00%
  The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you’ll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career.
  Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team — including offering a competitive benefits package.
  R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity. The Company’s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person’s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.
  If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance.
  CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights California Consent
  To learn more, visit: R1RCM.com
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• 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.
• Create informative and compelling visualizations that intuitively display large amounts of data and/or complex relationships; translate data analytics into coherent reports and presentations for internal and external customers with varying degrees of technical expertise and knowledge.
• Have a specialty in machine learning, artificial intelligence, pattern recognition, optimization, or advanced statistics.
• 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.