Skip to content
- Conduct data profiling of all data sources in the data lake to analyze data quality, transformation, unusual trends or patterns, outliers, missing data, data distribution, etc.
- Derive data quality and validation rules (potentially using GCP native tool dataprep, python or R) for implementation by the Data Engineer.
- Account-Based Marketing (ABM), Brand and advertising, Campaign management.
- Write code for MMM Data Routine Automation to cleanse, transformation and integrate all data using tools such as python or R.
- Train, test and deploy Machine Learning Models.
- 10+ years of professional experience as data scientist or statistician is required.
- Deep understanding in marketing data quality issues and analytical procedures is required.
- Deep skills in machine learning and NLP applied to marketing analytics is required.
- Experience in data science solution development and production deployment is required.
- Strong programming skills (production grade) with python, SQL and R is required.
- Experience with cloud computing (GCP/AWS/Azure) is required. Experience with data visualization is desired.