Support data science initiatives that drive business profitability, increased efficiencies and improved customer experience.
Requirements
- Experience in a modern scripting language (preferably Python)
- Proficient running queries against data (preferably with Google BigQuery or SQL)
- Proficient with data visualization software (preferably Tableau)
- Proficient utilizing statistical techniques to identify key insights that help solve business problems
- Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
- Demonstrated experience in predictive modeling, data mining and data analysis
Responsibilities
- Design and develop algorithms and models to use against large datasets to create business insights
- Participates in large data analytics project teams by serving as a technical lead for analytics projects
- May lead small projects and work independently on solution development
- Execute tasks with high levels of efficiency and quality
- Make appropriate selection, utilization and interpretation of advanced analytical methodologies
- Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented
- Develops replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects
Other
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
- Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
- 4+ years of experience in business intelligence and analytics
- Working knowledge of Microsoft Excel and Power Point
