Description

Lead the application of data science to complex business problems.

Responsibilities

• Support implementation of new consumer data collection applications and define advanced data analytics features.
• Evaluate and improve data collection methodologies, including panel recruitment, data cleaning, and quality tracking.
• Assist in the production deployment of new solutions to support business operations.
• Document findings, methodologies, and best practices to maintain the knowledge base.
• Coordinate efforts across multiple teams to ensure seamless execution of data science projects.
• Manipulate, analyze, and interpret large datasets to uncover consumer journey insights.

Required Skills

• 5+ years of relevant professional experience.
• Proficiency in Python and SQL.
• Experience with Data Analysis and PySpark.
• Strong command of Pandas for data manipulation.
• Demonstrated problem-solving capabilities with complex datasets.
• Experience in Database Management.
• Ability to apply statistical and data analytical skills to real-world scenarios.
• Bachelor's degree or equivalent experience.

Preferred Skills

• Background in statistics and econometrics.
• Experience with consumer behavior analysis.
• Familiarity with crowdsourced panels and receipt capture methodologies.

Key Skills

Education

Any Graduate