About Freestar Freestar is a pioneering company that engineers best-in-class, cutting-edge solutions for website monetization. We achieve this by leveraging our industry-leading technology, vast data resources, and remarkable scale. Our mission is to empower Publishers to
At Assurant, were transforming the way customers engage across digital channels. Were seeking a Manager, Digital Performance & Optimization to lead the measurement, analysis, and optimization of critical digital experiences across our global business. This is
Company Overview : Dozee Health AI is the pioneer in Contactless Remote Patient Monitoring (RPM), proven to drive transformation at scale. Headquartered in Bengaluru, India, Dozee has emerged as India’s no. 1 RPM Company. We are
Paid Strategist Directive Consulting is the leading B2B marketing agency for companies that are done optimizing for metrics that dont move the business. With over a decade of expertise and 420+ B2B brands behind us, we
Paid Strategist Directive Consulting is the leading B2B marketing agency for companies that are done optimizing for metrics that dont move the business. With over a decade of expertise and 420+ B2B brands behind us, we
Paid Strategist Directive Consulting is the leading B2B marketing agency for companies that are done optimizing for metrics that dont move the business. With over a decade of expertise and 420+ B2B brands behind us, we
Sales Analyst (Remote Eligible - MO, KS, AZ, NM, NV) The Sales Analyst provides valuable analysis and actionable insights that will be used to develop plans to help drive sales efficiency, revenue growth and client loyalty.
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side