Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Develop company A / B testing framework and test model quality.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Strong problem solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques.
Knowledge of advanced statistical techniques and concepts and experience with applications.
Excellent written and verbal communication skills.
Familiar with the following software / tools :
GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis
R, Python, SLQ, etc.
Redshift, S3, Spark, DigitalOcean, etc.
Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Map / Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Periscope, Business Objects, D3, ggplot, etc.