FanDuel is looking to solve marketing analytics and modeling problems to drive business and marketing KPIs
Requirements
- Strong analytical and quantitative skills, with high proficiency in Python and SQL (or coding language of choice)
- Experience creating and managing models for marketing mix and channel attribution
- Experience with Databricks or similar cloud-based data science platform. Bonus points for experience optimizing compute based on model specifications
- Experience with Git, at least familiar with concepts such as branches, commits, and pull requests
- Familiarity with on- and off-line marketing data
- Experience using simulations for scenario analysis and recommendations
- Experience delivering model result to business users and have recommendation implemented
Responsibilities
- Develop and manage mix models to report on effectiveness of campaigns across all our products
- Build robust predictive models, showing capabilities of feature and model selection; develop, iterate and take to production advanced machine learning models
- Identify appropriate tools, systems, and models to solve large data problems and improve efficiency in the data infrastructure; choose the 'best' approach given available resources
- Create tools and models to generate actionable insights on Marketing campaigns
- Troubleshoot and resolve coding and modeling problems presented by others
- Work with agencies, vendors and in-house data engineers to source and manage all the data elements required for marketing mix modelling and channel attribution
- Partner with decision-makers across the company to understand their goals, identify opportunities to use data to develop new insights, and improve business results
Other
- Minimum of 5 years of industry experience in data science, analytics or engineering preferred
- Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred
- Strong verbal and written communication skills – demonstrable track record of influencing marketing strategy through your insights
- Knowledge of sports and/or experience working within a heavily regulated industry is a plus
- Paid personal time off and 14 paid company holidays
