Senior Data Scientist
On-siteAtlanta, Georgia, United States or Lehi, Utah, United States
Job Summary
Lead the design, development, and implementation of sophisticated machine learning models and predictive analytics solutions to solve critical business problems. Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly to diverse audiences. Collaborate with cross-functional teams to define project requirements, scope, and deliverables while developing and maintaining robust data pipelines to ensure data quality and integrity. Mentor junior data scientists and champion data-driven decision-making throughout the company by educating stakeholders on the power of data science. Stay abreast of the latest advancements in data science and AI, evaluating and recommending new technologies and methodologies to contribute to the strategic direction of Waystar's data science initiatives.
Required Qualifications
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
- 8+ years of progressive experience in data science, with a proven track record of delivering impactful data-driven solutions in a fast-paced environment
- Expert-level proficiency in Python and/or R for data manipulation, statistical analysis, and machine learning model development
- Extensive experience with various machine learning techniques (e.g., supervised, unsupervised, reinforcement learning, deep learning) and their practical applications
- Strong understanding of statistical modeling, experimental design, hypothesis testing, and causal inference
- Proficiency in SQL for data querying and manipulation, with experience working with large-scale datasets
- Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders
- Demonstrated ability to lead projects, mentor team members, and drive successful outcomes
Desired Qualifications
- Prior experience in the healthcare technology or financial services industry is a plus
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop)
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