Data Scientist

Hearst Magazine Media, Inc. seeks Data Scientist in New York, NY to design fashion databases and taxonomy to support business applications, ensuring system scalability, security, performance, and reliability. Create, enforce, develop, and document fashion database and taxonomy development standards for online advertising. Document and communicate fashion database schemas and taxonomy, using accepted notations. Develop fashion database architectural strategies at the modeling, design and implementation stages to address fashion E-Commerce and social media advertising. Build a large-scale fashion database that can be used to generate sophisticated insights for fashion & beauty brands and retailers. Develop statistical models and algorithms to analyze what is driving ROI (Return on investment) for the fashion & beauty content pages of Hearst Magazines. Develop machine learning models and algorithms to analyze popular fashion keywords and trends across Hearst fashion content pages of the magazine brands such as ELLE and Harper's Bazaar. Collaborate with system architects, software architects, design analysts, and others to understand fashion and apparel industry requirements. Identify, evaluate and recommend hardware or software technologies to achieve desired database performance for fashion content retrieval. Work with business units to translate business problems to actionable tools, insights and models for fashion & beauty content pages. Build automated analytics reporting in response to needs from stakeholders across the fashion & beauty contents of Hearst businesses. Experiment with emerging technologies (fashion sentence and image tagging technology) related to big data initiatives for the Hearst Data Warehouse platform. Exercise ownership of the various components of data science life cycle including fashion data wrangling, feature engineering, data visualization (discovery), model generation across the fashion & beauty content pages of Hearst Magazine brands such as ELLE, Esquire, Good Housekeeping, and Harper's Bazaar.