Top Data Science Jobs in Provo, UT
As a Senior Credit Analyst, you will evaluate Adobe's enterprise customers' credit risk by analyzing financial data and credit reports. Your role includes assessing creditworthiness, deciding on credit limits, and collaborating with internal teams to manage credit approvals. You'll provide written recommendations and maintain relationships with clients and internal partners while staying informed about industry trends and regulatory changes.
The Revenue Operations Analyst at Rinsed will maintain regular reporting on revenue metrics, analyze data to create dashboards, oversee CRM administration, streamline the deal process, collaborate cross-functionally, and develop training on new system processes. The role requires strong organizational and analytical skills, alongside experience in relevant revenue tools.
As a Data Scientist, you will leverage analytics, data mining, and machine learning to develop predictive models, improve decision systems, and drive business growth. Your responsibilities include data exploration, implementing experiments, and utilizing advanced analytics technologies to enhance customer service and business processes.
Analyzing and advising on improvements in the customer journey, data analysis, sales forecasting, and systems to boost productivity. Collaborating with various teams to design and implement sales incentive plans and drive outcomes aligned with business objectives. Taking initiative in cross-functional projects to create efficiencies in sales processes and improve data quality.
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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.
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.
The Data Scientist I role involves developing and monitoring quantitative models for credit and fraud analytics. Responsibilities include consolidating large datasets, performing predictive analytics, supporting machine learning models, advising on trends, and collaborating with teams to implement strategies.
The Data Scientist will develop algorithms and applications to extract insights from data, perform statistical analysis, create visualizations, and optimize AI/ML frameworks. Responsibilities include troubleshooting service offerings, collaborating with teams for model scalability, and consolidating big data sources.
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