Top Data Science Jobs

As a Senior Data Scientist, you'll design and implement analytical solutions across various business units. Responsibilities include collaborating with business partners for objectives, managing data for modeling, working with Machine Learning Engineers, and presenting analytical results. You'll also oversee junior data scientists in developing solutions.

As a Data Scientist at iHeartMedia, you will provide research, modeling, analysis, and guidance using advanced analytics and data science techniques. Your role will support data-driven decision making through innovative business solutions.

The Data Scientist will support various teams by analyzing company data to uncover opportunities for process optimization and enhance business outcomes. Responsibilities include data mining, predictive modeling, developing algorithms, communicating insights effectively, and overseeing data governance.

As a Senior Data Scientist, you will develop and implement data processing software and optimization algorithms, apply AI and machine learning techniques to solve business challenges, and collaborate with various teams to bring products to market. You will also maintain and deploy analytics software and advocate product solutions to internal clients.

The Data Scientist will solve healthcare data-driven problems using machine learning and predictive modeling methods, collaborating with the Data Science team and Product Management to maximize the utility of predictive modeling in healthcare operations.

Reconciles memberships and premiums between Health Plan and government partners, conducts reporting, offers process improvement recommendations, engages in membership eligibility research, and quantifies revenue implications of payment discrepancies.

Revenue Operations Analyst responsible for turning data into critical information for the GTM team to make sound business decisions. Key responsibilities include creating reports, analyzing processes, driving process optimization, and supporting sales leadership. Requires 1-3 years of experience in operations or financial planning within a SaaS business, strong quantitative capabilities, Salesforce expertise, and proficiency in Excel.