Healthcare Data Scientist: Predictive Modeling & ML
Waystar, Inc.
Atlanta (GA)
On-site
USD 110,000 - 160,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Benefits offered by this job
Competitive total rewards package
Generous paid time off
Paid parental leave
Education assistance opportunities
401(K) with company match
Pet insurance
Job summary
A leading Healthcare technology company is seeking an experienced Data Scientist to solve data-driven problems in healthcare applications. This role involves collaboration with various teams to maximize predictive modeling and analytic capabilities. Candidates should possess a Master's degree or higher in Computer Science, Statistics, or Mathematics and demonstrate expertise in statistical techniques and machine learning. The environment is fast-paced, requiring independent problem-solving and strong communication skills to effectively convey insights across teams.
Strong attention to detail and problem-solving skills.
Ability to interact effectively with team members across various functions.
Responsibilities
Solve technical, data-driven Healthcare problems.
Conduct analysis and experimentation to maximize predictive modeling utility.
Develop software solutions to clean and integrate large datasets.
Skills
Statistical techniques
Machine learning
Predictive modeling
R/Python programming
Data visualization
SQL competency
Analytical skills
Communication skills
Education
Master of Science in Computer Science
Master of Science in Statistics
Master of Science in Mathematics
Tools
SQL Server
Microsoft Office
Job description
A leading Healthcare technology company is seeking an experienced Data Scientist to solve data-driven problems in healthcare applications. This role involves collaboration with various teams to maximize predictive modeling and analytic capabilities. Candidates should possess a Master's degree or higher in Computer Science, Statistics, or Mathematics and demonstrate expertise in statistical techniques and machine learning. The environment is fast-paced, requiring independent problem-solving and strong communication skills to effectively convey insights across teams.