BlueOcean AI is a company that leverages artificial intelligence to assist marketers in developing competitive strategies and improving their brand messaging. By utilizing real-world data, BlueOcean empowers its users to monitor brand performance, identify market opportunities, and make informed marketing decisions. Their platform, BlueOcean Trackβ’, offers continuous brand tracking and insights that help marketing teams strengthen their strategies in a rapidly changing marketplace.
February 17
π Alabama β Remote
π California β Remote
+7 more states
β° Full Time
π’ Junior
π‘ Mid-level
π Data Scientist
BlueOcean AI is a company that leverages artificial intelligence to assist marketers in developing competitive strategies and improving their brand messaging. By utilizing real-world data, BlueOcean empowers its users to monitor brand performance, identify market opportunities, and make informed marketing decisions. Their platform, BlueOcean Trackβ’, offers continuous brand tracking and insights that help marketing teams strengthen their strategies in a rapidly changing marketplace.
β’ Assist with the development and optimization of models estimating key elements of brand performance β’ Assist with the production and delivery of analyses to current customers β’ Act as a supplementary technical resource on client calls and sales calls β’ Research and leverage data collection systems and other strategies to collect information on brand performance β’ Manage BlueOcean processes for the collection, processing, delivery and presentation of brand performance data β’ Create written communication materials that effectively document models and data collection processes and make recommendations regarding opportunities for improvement β’ Conduct the full lifecycle of analytics projects β’ Evaluate key BlueOcean performance indicators and provide ongoing reports
β’ Bachelorβs degree, preferably in a STEM discipline, computer science, business management, or economics β’ At least two years work experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. β’ Basic experience with Python β’ Exceptional verbal, written, and visual communication skills
β’ Base salary β’ Benefits β’ Potential for equity grants
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