Top Senior Level Data & Analytics Jobs in Salt Lake City, UT

The role involves researching and developing quantitative trading strategies within the energy sector, performing trading performance analytics, and influencing the product direction with data-driven insights. The analyst will collaborate with teams to shape tools and processes that improve trading outcomes, while mentoring junior analysts and fostering a culture of experimentation.

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.

As a Lead Data Engineer at Lumos, you will architect and maintain data pipelines to support AI products and analytics, focusing on reliability, scalability, and integration of various data sources to drive business insights.

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 Senior Data Developer will develop and maintain data solutions using Python and Azure Databricks, focusing on high-quality coding practices. Responsibilities include managing data infrastructure, cloud services, and troubleshooting within SCRUM/Kanban workflows while applying a DevOps mindset.

The Principal Proposal Analyst will evaluate supplier proposals in compliance with Federal Acquisition Regulation and Northrop Grumman requirements. Responsibilities include preparing detailed Price/Cost Analysis Reports, conducting cost estimating, and collaborating with various functions to ensure high-quality proposal submissions that meet customer and financial goals.

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.