The company is looking to re-invent the way they measure how people shop, both online and in-store, and transform their panel measurement business.
Requirements
- Experience in data cleaning, outlier validation, data aggregation, and visualization techniques
- Experienced in Python, with 3 years or more demonstrated experience
- Experienced in technology stack for cloud computing (Azure, Databricks)
- Experienced with version control systems
- Working knowledge of SQL working with queries and large-scale databases
Responsibilities
- Evaluate current methodologies and identify opportunities for enhancement (input data cleaning, data preparation methodologies, data quality tracking, consumer projection)
- Develop the prototypes of new solutions/methodologies to new market challenges
- Design end to end validation/projection performance indicators in connection to the product quality
- Summarize and present findings and recommendations to stakeholders
- Support production deployment of proposed enhancements/new solutions
- Develop and maintain documentation of findings, methodologies, and best practices
Other
- Bachelor’s or master's degree in mathematics, Statistics, Socio-economics, Data Science or other related field with 3 or more years of experience
- Knowledge of consumer behavioral data and translating insights into outcomes
- Strong aptitude for data analysis with an ability to manipulate, analyze and interpret large data sources
- Eager to continuously learn and adopt and develop evolving technologies and tools
- Strong communication and collaboration skill
