Top Senior Level Data Science Jobs in Salt Lake City, UT

The Staff Data Scientist will collect, analyze, and optimize big data while contributing to the organization's Big Data Strategy. Responsibilities include building predictive models, creating visualization dashboards, and collaborating with cross-functional teams to drive data-driven solutions. The role emphasizes continuous learning and innovation in data science methodologies.

As a Senior Data Scientist at StackAdapt, you'll focus on building predictive models to enhance business operations, identify high-potential customers, and implement time series forecasting. The role requires collaboration with internal teams and coding production-ready algorithms. You need a strong data science background and a willingness to turn ambiguous tasks into actionable steps.

The Senior Scientist will lead collaborations with biomedical partners to develop and implement pharmacometric strategies. Responsibilities include creating population PK/PD models, performing Monte-Carlo simulations, and producing technical reports, contributing to the advancement of drug development through data-driven decision making.

As a Staff Data Scientist, you will drive user acquisition and monetization strategies by analyzing data related to user engagement, revenue metrics, and marketing budgets. You will collaborate with product teams to optimize user conversion and retention, and mentor other team members in data-related tasks.

The Data Science Manager will lead application development for Availity's products, focusing on statistical and machine learning solutions. Responsibilities include managing the data science development lifecycle, translating business requirements, analyzing technology trends, and coaching the analytics team.

Join Butter's ML team to optimize the recovery of failed payments by identifying an optimal sequence of retry attempts using novel techniques. Conduct model iterations and AB tests to enhance product performance. Requires 5+ years of data experience, strong statistics background, and knowledge of ML.

The Principal Scientist will manage and oversee non-clinical and clinical biomarker bioanalysis, including method development, validation, and interactions with specialty labs. Responsibilities include collaboration with cross-functional teams, maintaining quality assurance, and contributing to the development of novel therapeutics. This role requires a strong background in bioanalytics, laboratory management, and the drug discovery process.