Role Overview

• Contribute to discovery and development phases for new and existing products/models relating to media measurement
• Participate in model development, validation and maintenance
• Analyze large datasets to identify trends, patterns, and insights.
• Respond to ad hoc client-specific requests including performing analyses, data manipulation and producing summary results.
• Collaborate with cross-functional teams to deliver on broader project goals.
• Support evaluation and validation of both internal and external products to ensure Cint’s success.
• Communicate insights and recommendations through visualizations and presentations.

Requirements

• Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields.
• 2 years of experience in a data science and analytics capacity, preferably in market research, or advertising analytics.
• Ability to manipulate, analyze, and interpret large data sources independently.
• Familiarity with core statistical concepts and techniques.
• Exposure to a variety of machine learning methods and their real-world advantages/drawbacks.
• Strong analytical skills with a focus on data and model validation and accuracy.
• Proficiency in Python.

Tech Stack

• Python

Benefits

• Health insurance
• Paid time off
• Flexible work arrangements
• Professional development