Top Data Science Jobs in Salt Lake City, UT

The Data Annotator will label and curate data for AI model training, including annotating multimodal data and generating multiple-choice questions. The role requires attention to detail, English proficiency, and data literacy.

The Senior Revenue Operations Analyst will focus on territory management and automation processes within the Revenue Operations team. Responsibilities include analyzing data to provide territory recommendations, systematizing territory assignments, and ensuring data hygiene across various teams. Collaboration with Customer Success and GTM teams is essential to enhance lead distribution and territory alignment.

The Senior Revenue Operations Analyst will shape and assign sales territories through data analysis and automation, collaborate cross-functionally, and monitor data accuracy. Responsibilities include improving internal processes, utilizing tools like Dunn & Bradstreet, and providing guidance to the GTM teams.

As a Senior Data Scientist at Discord, you'll collaborate with various teams to conduct deep analytics, build dashboards, track KPIs, and implement A/B testing to enhance user experience and support product development. You'll be responsible for translating complex data into actionable insights and engaging with both technical and non-technical stakeholders.

Mentors provide technical support to students by answering queries, reviewing project submissions, and offering personalized feedback while ensuring original work. They maintain a quick response and review time to foster a supportive learning environment.

Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.

As an AI Research Scientist at Phaidra, you will lead the design and implementation of novel algorithmic architecture for intelligent control systems in the industrial sector. This role involves applying expertise in reinforcement learning and deep learning, and collaborating across research fields to achieve groundbreaking results that enable industrial facilities to autonomously improve their operations.