Computer Science Degree Jobs in Provo, UT (NOW HIRING)

Job Summary:
Waystar is a company that helps providers simplify healthcare payments through a smart platform. They are looking for an experienced Data Scientist to solve technical, data-driven Healthcare problems using computer science and statistical methods, while maximizing the utility of predictive modeling and analytics across their product line.
Responsibilities:
• Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse 'big data' sources to generate actionable insights and solutions for client services and product enhancement.
• Interacts with product and service teams to identify questions and issues for data analysis and experiments.
• Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
• Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior.
• Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically-based features in core products.
• Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, producing quantitative, justifiable results to guide feature planning.
• Translates real-world Healthcare problems to mathematical frameworks.
• Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback.
• Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role.
• Understands, organizes, and communicates root causes of problems and successes succinctly.
Qualifications:
Required:
• Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse 'big data' sources to generate actionable insights and solutions for client services and product enhancement
• Interacts with product and service teams to identify questions and issues for data analysis and experiments
• Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
• Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers
• Complete familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods
• Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing
• Understanding of orders of algorithms and how they scale
• Demonstrated competency in R/Python predictive modeling
• Demonstrated competency in RDBMS (e.g. SQL Server)
• Ability to code in 1+ general purpose programming language (C#, Java, etc.)
• Must be a quick-learner with the ability to multi-task in a fast-paced environment
• Outstanding presentation abilities and the ability to communicate with all levels of the Business
• Comfortable working in newly-forming, ambiguous areas where learning and adaptability are key skills
• Outstanding communication and interpersonal skills
• Must possess strong analytical, problem-solving, and writing skills
• Proficient in Microsoft Office applications
• Detail-oriented
Preferred:
• Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics
• An aptitude for medical informatics
Company:
Waystar is a technology platform that provides healthcare revenue cycle management solutions. Founded in 2017, the company is headquartered in Louisville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.