Senior Healthcare Data Scientist: ML & Predictive Modeling

Waystar, Inc.; Lehi (UT); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive total rewards

Customizable benefits package

Generous paid time off

Paid parental leave

Education assistance

Free mental health programs

401(K) program with match

Pet insurance

Job summary

A healthcare technology company seeks an experienced Data Scientist to improve Healthcare software applications. The role involves solving complex healthcare problems using machine learning and predictive modeling. The ideal candidate will collaborate with engineering and operational teams to implement analytics and learn independently in a fast-paced environment. A Master’s degree in a relevant field and familiarity with R/Python, SQL, and various statistical methods are preferred. Competitive perks and an inclusive work culture are offered.

Qualifications

• Master's degree or higher preferred in a relevant field.
• Experience with various statistical and machine learning techniques.
• Demonstrated competency in R/Python and SQL.

Responsibilities

• Collaborate with teams to implement machine learning systems.
• Conduct data exploration and analyze algorithms.
• Translate healthcare problems into mathematical frameworks.

Skills

Statistical techniques

Machine learning

Predictive modeling

R/Python programming

SQL Server

Communication skills

Analytical problem-solving

Detail-oriented

Education

Master of Science in Computer Science, Statistics, or Mathematics

Tools

Microsoft Office

Job description

A healthcare technology company seeks an experienced Data Scientist to improve Healthcare software applications. The role involves solving complex healthcare problems using machine learning and predictive modeling. The ideal candidate will collaborate with engineering and operational teams to implement analytics and learn independently in a fast-paced environment. A Master’s degree in a relevant field and familiarity with R/Python, SQL, and various statistical methods are preferred. Competitive perks and an inclusive work culture are offered.