Top Data Science Jobs in Salt Lake City, UT

Reposted 19 Days AgoSaved
Remote
Salt Lake City, UT
Senior level
Senior level
Healthtech
The Senior Data Scientist will analyze and optimize marketing funnels, build statistical models, conduct experiments, collaborate with teams, and mentor junior members.
Top Skills: AWSAzureGCPPythonSQL
Reposted 20 Days AgoSaved
Remote
Salt Lake City, UT
Senior level
Senior level
Healthtech
Senior individual contributor who builds statistical models and experiments to optimize acquisition, conversion, retention, and lifetime value. Partners with Product, Marketing, and Engineering to define data requirements, analyze A/B tests, perform cohort and funnel analyses, communicate findings to stakeholders, and mentor junior team members while contributing to analytics best practices.
Top Skills: AWSAzureGCPGitPythonSQL
Reposted 20 Days AgoSaved
Remote
Salt Lake City, UT
Senior level
Senior level
Healthtech • Software • Database • Biotech • Pharmaceutical
As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.
Top Skills: Aws AthenaAws RedshiftAws SagemakerDbtPythonSQL
24 Days AgoSaved
Remote
Salt Lake City, UT
Senior level
Senior level
Food • Logistics • On-Demand • Retail • Software
Lead end-to-end data science initiatives across pricing, dispatch, ETA, routing, and forecasting. Turn ambiguous logistics problems into production ML solutions, build data pipelines, partner with engineering to deploy models, establish evaluation and A/B testing, and work directly with customers and leadership to measure business impact.
Top Skills: AirflowAPIsDbtPythonReal-Time Decision SystemsSnowflakeSQL
Reposted 24 Days AgoSaved
Remote or Hybrid
Salt Lake City, UT
170K-200K Annually
Senior level
170K-200K Annually
Senior level
eCommerce • Information Technology • Machine Learning • Marketing Tech • Database • Analytics • Big Data Analytics
Lead development and operationalization of measurement products (MMM, incrementality, insights, recommendations). Build, deploy, and maintain production-grade statistical and ML systems, debug end-to-end data and model issues, evaluate methodologies, and partner with engineering, product, and customer teams to improve measurement accuracy and reliability. Provide customer-facing explanations and support for measurement outputs.
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