Top Data Science Jobs in Minneapolis, MN

The Senior Revenue Fraud Analyst will provide project management and investigative support for revenue fraud cases, liaise with internal and external stakeholders, develop training for new employees, and report on analytical and investigative results. Responsibilities include evaluating account takeovers and supporting the USPS intercept process.

As a Principal Data Scientist, you will develop machine learning models for hotel demand and pricing prediction, optimize revenue through pricing strategies, and lead technical projects. Collaboration with product and engineering teams is key to integrating solutions and presenting findings to management.

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 Revenue Operations Analyst will lead analytics projects that inform decision-making across Go-To-Market functions. Responsibilities include coordinating cross-department initiatives, improving analytics processes, ensuring data integrity, and conducting analyses to support revenue operations.

The Senior Revenue Analyst will manage global revenue streams, overseeing the month-end revenue close, ensuring compliance with US GAAP and ASC 606. Responsibilities include reviewing contracts, preparing journal entries, conducting revenue reconciliations, and collaborating with various teams to improve accounting processes and revenue recognition accuracy.

Analyst position at OpenTable supporting sales and services programs, initiatives, and analytics in North America. Responsible for data analysis, insights, recommendations, and process optimization. Requires expertise in Salesforce, Tableau, SQL, finance, and analytics.