Senior Healthcare Data Scientist: ML & Predictive Modeling
Waystar, Inc.
Lehi (UT)
Sur place
USD 90 000 - 120 000
Plein temps
14 jours+
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Avantages offerts par ce poste
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
Résumé du poste
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.
Responsabilités
Collaborate with teams to implement machine learning systems.
Conduct data exploration and analyze algorithms.
Translate healthcare problems into mathematical frameworks.
Connaissances
Statistical techniques
Machine learning
Predictive modeling
R/Python programming
SQL Server
Communication skills
Analytical problem-solving
Detail-oriented
Formation
Master of Science in Computer Science, Statistics, or Mathematics
Outils
Microsoft Office
Description du poste
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.
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