Senior Data Scientist - Lead ML, Mentor & Impact

Waystar; Atlanta (GA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Benefits package

Paid time off

Parental leave

Education assistance

LinkedIn Learning

Mental health support

401K with match

Pet insurance

Employee resource groups

Job summary

Waystar is seeking a senior data scientist to design and deploy machine learning models and predictive analytics across healthcare payments. You will mentor junior data scientists and collaborate with engineering, product, and business stakeholders to define project requirements and deliverables.

You will build robust data pipelines with data engineers, explore data to identify trends, ensure data quality, and evaluate new technologies to advance Waystar's data science initiatives.

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 in fast-paced environments.
• Expert-level proficiency in Python and/or R for data manipulation, statistics, and ML model development.
• Experience with a range of ML techniques (supervised, unsupervised, reinforcement learning, deep learning) and practical applications.
• Strong understanding of statistical modeling, experimental design, hypothesis testing, and causal inference.
• Proficiency in SQL for data querying and large-scale datasets.
• Experience with cloud platforms (AWS/Azure/GCP) and big data tech (Spark/Hadoop) is highly desirable.
• Excellent communication, presentation, and interpersonal skills with non-technical stakeholders.
• Demonstrated ability to lead projects and mentor team members.
• Prior experience in healthcare tech or financial services is a plus.

Responsibilities

• Lead the design, development, and implementation of ML models and predictive analytics solutions to solve critical business problems.
• Mentor and guide junior data scientists, fostering excellence and continuous learning.
• Collaborate with cross-functional teams to define data science project requirements, scope, and deliverables.
• Conduct in-depth data exploration, analysis, and visualization to identify trends and anomalies and present findings clearly.
• Develop and maintain robust data pipelines and infrastructure with data engineers to ensure data quality and accessibility.
• Stay current with data science advancements, evaluating new technologies and methodologies.
• Contribute to Waystar’s data science strategy and identify opportunities for innovation and impact.
• Champion data-driven decision-making and educate stakeholders on analytics value.
• Evaluate and select appropriate statistical methods and ML algorithms for business challenges.

Skills

Python

R

Statistical modeling

Experiment design

Hypothesis testing

Causal inference

SQL

Data visualization

Communication

Leadership

Education

Master’s or Ph.D. in CS/Statistics/Math/Engineering

Tools

AWS/Azure/GCP

Spark/Hadoop

Job description

Waystar is seeking a senior data scientist to design and deploy machine learning models and predictive analytics across healthcare payments. You will mentor junior data scientists and collaborate with engineering, product, and business stakeholders to define project requirements and deliverables.

You will build robust data pipelines with data engineers, explore data to identify trends, ensure data quality, and evaluate new technologies to advance Waystar's data science initiatives.