OUR IDEAL CANDIDATE:

- 3+ years of experience in applying data science techniques to marketing optimization and experimentation/optimization experience with paid acquisition channels on at least one major platform.

- An expert in experimental design — especially in real-world conditions where circumstances can be quite messy and, a robust inference needs to be made — as well as observational causal inference with large, multivariate marketing data sets.

- Experience developing and deploying machine learning and statistical models

- Strong quantitative intuition and data visualization skills for ad-hoc and exploratory analysis

- Strong presentation skills and ability to effectively communicate complex analyses to a non-technical audience.

- Mentoring experience and are comfortable doing so.



DESIRED SKILLS

- Data visualization tools: Mode*, Looker, Tableau. *Strong plus

- Python (numpy, pandas, sklearn, xgboost, TensorFlow, etc.)

- SQL

- Spark

- AWS Suite: Lambda, EC2, Sagemaker, etc.