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Manager Data Science Analytics Jobs in Utah (NOW HIRING)

Waystar

Data Scientist

Lehi, UT · On-site

... Management and Application teams to maximize operational outcomes. Responsibilities : • Works ... Required : • Bachelor's degree in the fields of Computer or Data Science, Statistics, or ...

Epicor

Principal Data Scientist

Lehi, UT · Hybrid

Partner across crossfunctional analytics teams-including DW engineers, ETL engineers, data science engineers, data production teams, SMEs, and customers-to architect endtoend analytics solutions.

Epicor

Principal Data Scientist

Lehi, UT · Hybrid

Partner across crossfunctional analytics teams-including DW engineers, ETL engineers, data science engineers, data production teams, SMEs, and customers-to architect endtoend analytics solutions.

Swire Coca-Cola, USA

Data Scientist

Draper, UT · On-site

... data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer ...

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What is the difference between Manager Data Science Analytics vs Data Scientist?

AspectManager Data Science AnalyticsData Scientist
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field; focus on technical skills
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, explores data independently or in small teams
Employer & Industry UsageUsed in organizations with analytics teams, across industries like tech, finance, healthcareCommonly employed in data-driven roles across similar industries

The main difference is that a Manager Data Science Analytics oversees teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts technical data analysis and modeling. Both roles require strong analytical skills, but the managerial position emphasizes team management and stakeholder communication.

What are the most commonly searched types of Data Science Analytics jobs in Utah? The most popular types of Data Science Analytics jobs in Utah are:
What cities in Utah are hiring for Manager Data Science Analytics jobs? Cities in Utah with the most Manager Data Science Analytics job openings:
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Data Scientist

Data Scientist

Waystar

Lehi, UT • On-site

Full-time

Posted 24 days ago

Job description

Job Summary:
Waystar is a company that helps providers simplify healthcare payments and improve financials throughout the revenue cycle. They are seeking an experienced Data Scientist to solve data-driven healthcare problems using machine learning and predictive modeling methods, while collaborating with Product Management and Application teams to maximize operational outcomes.
Responsibilities:
• Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational value.
• 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 new applications of machine learning and analytic technology within 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 succinctly. 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
• Demonstrated competency in R/Python predictive modeling
• Demonstrated competency in RDBMS (e.g. SQL Server)
Qualifications:
Required:
• Bachelor’s degree in the fields of Computer or Data Science, Statistics, or Mathematics
• Demonstrated competency in R/Python predictive modeling
• Demonstrated competency in RDBMS (e.g. SQL Server)
• Must be a quick-learner with the ability to multi-task in a fast-paced environment
• Presentation abilities and the ability to communicate with all levels of the Business
• Comfortable working in ambiguous areas where learning and adaptability are key skills
• Competent communication and interpersonal skills
• Proficient in Microsoft Office applications
• 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
Preferred:
• Additional experience and/or education in healthcare, business operations or other areas
• 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.

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