Top Data Science Jobs in Provo, UT

The Senior Data Scientist will develop generative AI solutions, engineer ML workflows, analyze ServiceNow data, and collaborate on technical solutions, aiming to enhance business intelligence through data-driven insights.

Seeking a Senior Data Scientist to guide analytics for Yahoo Games, focusing on player behavior and product strategies. Responsibilities include audience analysis, KPI definition, and collaboration with product teams to enhance game experiences.

Lead data-driven decisions in weather and climate analytics by developing machine learning models, managing projects, and mentoring team members.

Develop electrical system ontology for data centers, deploy advanced anomaly detection using machine learning, monitor telemetry, and collaborate with teams to enhance reliability.

As a Senior Data Scientist, you will design forecasting models, analyze user behavior, and build data pipelines to drive business strategies and insights at Mozilla.

As a Senior Data Scientist, you will develop models to extract insights from complex datasets, focusing on temporal and geospatial features, while collaborating with engineering teams to implement solutions.

As a Senior Data Scientist at TRM Labs, you will lead the development of machine learning models for detecting cryptocurrency fraud, collaborating with cross-functional teams to analyze blockchain data and communicate insights effectively.

As a Senior Data Scientist, you'll partner with teams to build data-powered tools, optimize performance metrics, and champion data adoption across departments.

The Data Scientist role involves analyzing complex datasets, developing machine learning models, collaborating with cross-functional teams, and contributing to data strategies for improving cancer care.

Lead the development and validation of analytical pipelines and statistical models, automate processes, mentor peers, and ensure compliance for clinical reporting.

As a Senior Data Scientist, you will develop and optimize machine learning models, design predictive models, collaborate with teams, and monitor AI/ML models.

The Senior AI Data Scientist will design and develop AI agents for marketing analytics in consumer lending, leveraging advanced Python and big data platforms.

This role involves building credit risk models, bridging data science with MLOps, ensuring model reliability, and supporting compliance tasks.

The Model Risk Data Scientist will develop model performance metrics, support model governance for financial partners, and automate model analysis processes using Python and SQL.

The Senior Data Scientist will develop and implement ML models for financial data, translating business challenges into data science problems and owning the entire model lifecycle.

As a Senior Data Scientist, you'll analyze complex data sets, develop predictive models, and collaborate with stakeholders to drive data-driven growth.

Lead complex projects leveraging AI and machine learning to deliver innovative data-driven solutions, requiring extensive experience and technical expertise.

Design and build recommendation and personalization systems, conduct A/B testing and causal inference, and mentor the data team in best practices.

The Data Scientist will analyze raw data, build models, visualize information, and provide solutions to enhance business performance.

The Senior Data Scientist will create detection models, analyze data for fraud insights, and collaborate on machine learning strategies for AI fraud solutions.

Lead the design of human-aware AI systems to enhance human-AI interaction through robust machine learning pipelines and evaluation metrics.

Design and implement AI agents for autonomous goal management, evaluating alignment with human intent and integrating safety mechanisms while leading AI/ML system development.

The Senior Data Scientist will develop AI solutions, design autonomous AI systems, and collaborate across teams to influence business strategies using data science. They will focus on building and maintaining machine learning models for healthcare improvement.

Lead the development of reliable AI systems, manage data science strategies, and ensure effective integration of AI into healthcare solutions.

Lead Data Scientist responsible for developing AI solutions and managing machine learning models while collaborating with MLOps and DevOps teams to enhance healthcare outcomes.