Top Data Science Jobs in Provo, UT

As a Senior Staff Data Scientist, you'll define data strategy, mentor team members, advance experimentation practices, and collaborate with various teams to enhance product and business metrics.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

The role involves analyzing products, designing experiments, and developing key metrics to inform product decisions and improvements. It requires collaboration with various teams.

The Data Scientist in GTM Analytics will analyze people data to provide insights, automate processes, and improve departmental performance across Qualtrics. They will work independently with stakeholders and leverage data communication to support decision-making.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

As a Senior Data Scientist at Gradient AI, you'll design predictive models for insurance underwriting, analyze large datasets, and collaborate with cross-functional teams.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

This role involves analyzing blockchain data, mentoring a team, building models, and collaborating with blockchain researchers to enhance product development and security.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

The Senior Data Scientist at Coinbase will analyze ambiguous problems, own core metrics, and drive data science projects, impacting business decisions.

Seeking a Senior Data Scientist to leverage AI and machine learning in healthcare datasets. Responsibilities include developing algorithms, leading projects, and mentoring juniors while collaborating with technical and business teams.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Data Scientist will analyze complex datasets, ensuring data correctness while developing insights and automation for investment management.

Lead AI-driven insights and predictive analytics for enterprise business applications, focusing on optimizing processes like Quote-to-Cash and customer retention through data analysis and machine learning.

As a Staff Data Scientist in AI Products, you will drive AI/ML capabilities, influence product strategy, and collaborate with various teams to enhance data foundations.

The RevOps Data Scientist will enhance data operations, improve analytical frameworks, and scale machine learning models to support business growth while collaborating across teams.

The Data Scientist will develop and optimize machine learning models, perform data analysis, and collaborate with teams in a FinTech environment.

The Data Scientist will develop and maintain models for ratemaking and underwriting, educate stakeholders, and contribute to decision-making processes in the insurance sector.

The Data Scientist will develop statistical and machine learning models, analyze datasets, design experiments, and collaborate with stakeholders to deliver insights and decision-support tools, often in AWS environments.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

The role involves designing and analyzing experiments for Open Connect, building experimental tooling, delivering insights, and collaborating with cross-functional teams.