Job description

Description About the Role As Senior Personalization Analytics Analyst, you will lead the development, testing and curation of statistical and machine learning models to inform and support customer strategy within Marketing. This role focuses on providing analytical and technological support and consultation to key partners within the marketing organization, ranging from the executive level to our strategy teams. In addition, this person may lead the co-development of marketing technologies with our IT teams. What You’ll Do Construct and curate datasets for model features Develop the methodology for model creation, testing, execution, and maintenance Manage each project and code base in Github Lead working groups and participate in steering committees with our IT partners May lead UAT testing Provide project communications to Marketing leaders Cultivate meaningful relationships with our business partners Define analytical and reporting requirements with partners Respond to most complex inquiries with actionable insights and advice Deliver technical capabilities to partners Create dashboards or decks to provide recommendations Provide high level data driven insights that confirm or refute our partner’s hypothesis Provide guidance to Marketing leaders on investments in technology Demonstrate the ROI of technological advancements via proof on concept projects Additional tasks may be assigned as necessary What Skills You Have Required Bachelor’s Degree in relevant field Experience coding in general purpose languages, e.g. Java, Python, C++ Experience developing, testing, and curating statistical and machine learning models Experience using traditional RDBMS, e.g. Teradata, MSSQL Server Experience using cloud offerings, e.g. Azure, AWS, GCP Experience using software version control, e.g. Github Experience using any flavor of the Apache Hadoop Framework, e.g. Hortonworks, Cloudera, MapR A demonstrated ability to establish and maintain strong working relationships and achieve results by working collaboratively with others Ability to work in a rapidly changing environment while prioritizing and managing multiple tasks Strong oral and written communication skills, including experience with data visualization technologies such as Jupyter Notebooks, R Shiny, and Tableau Preferred Master’s Degree or Ph.D in the hard sciences, computer science, engineering or other applicable field 4+ years of relevant Data Science, Applied Mathematics, and/or IT experience

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