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Job Description
- 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
Job Requirements
- Bachelor's degree in Statistics, Math, Computer Science, or Economics
- 1-3 years' working experience in the area of data engineering, data science, or business intelligence
- Excellent written and verbal communication skills for coordinating across teams
- Strong problem solving skills with an emphasis on product development
- Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks