A data scientist with knowledge in digital marketing. Media Mix Modeling is preferable or even a time series modeling will suffice.
- Must have experience with Media or Marketing Mix Modeling
- Bachelor's degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.)
- 6+ years of work or post-graduate experience in a field of analytical science
- Proven success in using data insights and analytics to inform audiences, markets, and targeting to optimize campaign performance and drive acquisition
- Experience in designing and analyzing in-market survey research
- Understanding of online and offline media planning to define and rationalize the best channel mix to maximize the reach and impact against different audiences
- Shown affinity for and experience working with large or messy data sets
- Proficiency with statistical programming languages (R, Python, etc.) and proven ability to work pragmatically with statistical concepts
Excellent interpersonal and communication skills