Greater LA Area
2 months ago
· Work with business owners and data architects to formulate hypothesis and discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products and customer experience.
· Apply data mining and/or machine learning techniques, doing statistical analysis, and build high quality robust forecasting, prediction and recommendation systems integrated with our products.
· Gather data insights related to user behavior, product usage, audience segmentation, social media, marketing response, quality of services, and media consumption to drive business decisions.
· Select features, build and optimize classifiers, recommendation systems, predictive scoring models and forecasting systems using machine learning techniques, data mining using state-of-the-art methods.
· Extend/augment company’s data with third party public/proprietary data sources of information when needed.
· Enhance data collection procedures to include information that is relevant for building analytic systems.
· Process, cleanse, and verify the integrity of data used for analysis. Create automated anomaly detection systems and constant tracking of its performance.
· Perform ad-hoc analysis and presenting results and make recommendations in a clear manner to technical and nontechnical audience.