Senior Data Scientist, Cardlytics

• Experience in revenue management programming languages and query writing including Python, R, SQL etc
• Experience building forecasting models using time series/ regression models
• SFDC experience including familiarity with SFDC CRMA/ Tableau
• Extreme attention to detail, outstanding work ethic and sense of urgency, and a data-driven approach to making decisions and measuring performance

Desirable

• Fomulate and apply advanced analytical approaches in developing revenue models and forecasts for Cardlytics
• Design, implement and manage best practices for sales forecasting, planning, and performance reporting
• Work on complex data science and machine learning projects to understand and deliver solutions in pricing, revenue forecasting and pipeline success, as well as capacity planning and cost of sales
• Become intuitively familiar with the cycle of our business, customer behaviors and marketplace logic that shapes up our business
• Be the go to person for daily/weekly/monthly/quarterly revenue projections
• Create solutions that can be used for diagnostic and predictive analytics
• Define and track KPIs related to predicting quote attainment, forecast accuracy and own and develop forecasting logic and calculations for weighted pipeline and actuals
• Partner with Product, Finance, Sales and Client Success to create visualizations leveraging performance data and SFDC
• Partner with product and analytics to make recommendations based off of revenue and other insights that you encounter as you build your forecast
• Be familiar with the different levers and what they can accomplish to move core KPIs of our marketplace
• Simplify complex problems and huge data sets to extract non-obvious insights