Top Data Science Jobs in Provo, UT

This role involves partnering with sales to design data-driven solutions, engaging with customers, and supporting pre-sales engagements.

Partner with Membership to build data pipelines, ensure membership data quality, and develop predictive models (churn, retention, LTV). Design and analyze experiments, create dashboards, and collaborate with Marketing, Finance, and Product to optimize pricing, offers, and lifecycle programs.

Lead development and deployment of machine learning models for clinical and operational use cases. Perform data analysis, collaborate with program owners, propose solutions, follow software development and MLOps best practices, maintain deployed models, and communicate results to stakeholders.

The Senior Data Scientist will analyze data to enhance rider retention through experimentation and collaboration across teams. Responsibilities include defining metrics, delivering data-driven solutions, and conducting deep analyses on rider engagement.

The Sr. Cloud Engineer will develop and manage data pipelines, optimize cloud infrastructure, and collaborate with teams to implement new features, focusing on real-time machine learning and secure data storage solutions.

As a Data Scientist, you'll leverage machine learning and AI to analyze data, build models, and develop intelligent services, collaborating with various stakeholders.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

The Senior Data Scientist will develop metrics for system availability and reliability, analyze performance, and collaborate across teams to enhance Netflix's infrastructure.

The Data Scientist II will develop statistical models and algorithms for insurance interventions, improving customer lifetime value and enhancing conversion/retention using machine learning techniques.

The Lead Data Scientist will develop advanced analytical solutions for pricing and customer insights in pet insurance, mentor teams, and collaborate with stakeholders.

The Sr. Data Scientist will design, develop, and deploy AI models and tools, mentor teams, and drive data-driven insights while collaborating with cross-functional teams.

As a Senior Data Scientist at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.

The Staff Data Scientist will optimize ads delivery, lead experimentation, mentor junior scientists, and communicate findings to stakeholders. They will work with product and engineering leaders to evolve strategy and improve tools for analyzing ads performance.

As a Senior Data Scientist in Sales, you'll analyze customer behavior, develop predictive models, and create dashboards to optimize sales strategy and forecast revenue.

As a Data Scientist, you will identify opportunities using data to shape product decisions, develop metrics, and influence strategic partnerships across teams.

Design and execute observational studies on claims data, measure program cost and outcomes, build Python/Spark analysis pipelines, support ML products, collaborate across teams, and document reproducible methodologies using cloud data infrastructure (BigQuery, GCS, Dataproc).

Build production-quality data pipelines and analytical workflows using Python, SQL and Spark; clean, transform and analyze structured data; validate and deploy predictive models; support client presentations and explain results to non-technical audiences; contribute to and improve the firm’s analytics platform and tooling.

Design, iterate, and productionize ML models for recommendation, ranking, routing, and monetization. Lead A/B testing and causal measurement, build dashboards and analytics, define metrics, collaborate with Product and Engineering, and scale ML/analytics infrastructure and model lifecycle management.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

Design, develop, and deploy production machine learning models to improve decisioning for consumer lending. Partner with business and technical teams to develop data sources, improve modeling methodology, manage models in production, and mentor others while practicing strong software engineering and MLOps practices.

As a Senior Data Scientist, you will leverage statistical modeling and machine learning to optimize ad-related projects, collaborating with various teams to drive impactful product decisions and metrics measurement.

Lead development and refinement of machine learning models for pricing and profitability. Collaborate with various teams, synthesize insights, and improve business outcomes while adhering to agile methodologies.

As a Senior Data Scientist, you will develop machine learning models, optimize deployment processes, and collaborate with cross-functional teams to enhance clinical AI workflows.

The Senior Data Scientist will develop machine learning systems for fraud prevention, contribute to data pipelines, and mentor junior data scientists. This role involves working with complex data signals and collaborating across teams.