Senior Data Scientist — Lead ML, Insights & Pipelines

Waystar; Lehi (UT); On-site; USD 130,000 - 210,000; Full time

Benefits offered by this job

Competitive salary and bonus structure

Customizable benefits package

Paid time off 3 weeks + 13 holidays

Paid parental leave

LinkedIn Learning access

Mental health and family planning

401(K) with company match

Pet insurance

Employee resource groups

Job summary

Waystar seeks a senior data scientist to lead ML model development, analytics, and predictive insights across healthcare payments and revenue-cycle workflows.

You will mentor junior data scientists, partner with engineering, product, and business teams, and design robust data pipelines while staying current with the latest data science advancements. Joining Waystar means shaping data-driven decisions that impact providers, payers, and patients nationwide.

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 (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.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is highly desirable.
• 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.
• Prior experience in healthcare technology or financial services industry is a plus.

Responsibilities

• Lead the design, development, and implementation of sophisticated machine learning models and predictive analytics solutions to solve critical business problems.
• Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team.
• Collaborate with cross-functional teams (engineering, product, business stakeholders) to define data science project requirements, scope, and deliverables.
• Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and concisely to diverse audiences.
• Develop and maintain robust data pipelines and infrastructure in collaboration with data engineers to ensure data quality, accessibility, and integrity.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and recommending new technologies and methodologies.
• Contribute to the strategic direction of Waystar’s data science initiatives, identifying opportunities for innovation and impact.
• Champion data-driven decision-making throughout the company, educating and influencing stakeholders on the power of data science.
• Evaluate and select appropriate statistical methods and machine learning algorithms for various business challenges, ensuring rigor and validity.

Skills

Leadership

Mentoring

Communication

Cross-functional collaboration

Problem solving

Education

Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Engineering

Tools

Python

R

SQL

Spark

Hadoop

AWS

Azure

GCP

Job description

Waystar seeks a senior data scientist to lead ML model development, analytics, and predictive insights across healthcare payments and revenue-cycle workflows.

You will mentor junior data scientists, partner with engineering, product, and business teams, and design robust data pipelines while staying current with the latest data science advancements. Joining Waystar means shaping data-driven decisions that impact providers, payers, and patients nationwide.