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

As a Senior Applied Scientist at Zillow, you will enhance search experiences using AI and ML techniques. Responsibilities include developing ranking models, utilizing language models for user queries, scaling systems for high search volume, and mentoring fellow scientists. You will also coordinate projects and keep up with AI advancements.

The Research Scientist will lead research and develop optimization algorithms for energy market participation, asset management, and risk management. Responsibilities include utilizing research insights to guide product direction, collaborating with various teams, and driving innovation within the company.

As a Staff Data Scientist at Enigma, you will leverage machine learning and statistical methods to enhance data accuracy and usability. You will work within cross-functional teams, develop innovative solutions, validate results against real-world data, and contribute to critical product developments that impact small businesses' access to financial services.

The Senior Data Scientist will analyze resident health and care data to provide insights and feedback, design and maintain algorithms, integrate new datasets, create visualizations, and collaborate with various teams to address business needs using data.

The Sr. Principal Data Scientist will assess data management within NSIC, develop data infrastructure guidelines, implement a data lifecycle management framework, ensure data quality, leverage advanced analytics techniques, and identify capacity building programs for personnel.

As a Sr. Data Scientist, you will lead the development of advanced scoring and indexing models for predicting business outcomes, collaborate with teams to integrate solutions, conduct data analysis, and ensure the accuracy of models while communicating insights to stakeholders.

As a Senior Data Scientist at Entefy, you will influence the future of productivity through advanced analytics. Responsibilities include delivering insights from structured and unstructured datasets, leading other data scientists, and employing strong data visualization skills.