Business Data Scientist, gTech Ads (English, Portuguese)

• Lead Data Science client engagements focusing on marketing effectiveness and portfolio management, utilizing deep expertise in Marketing Mix Models (MMMs), ML, and statistics.
• Partner with customers, sales, and internal teams to unpack problems and build end-to-end statistical modeling frameworks, translating complex data into actionable strategic insights and co-presenting recommendations to integrate into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied DS team, employing methods which create opportunities for scale, proactively helping to drive innovation.
• Develop comprehensive understanding of Google data structures, and metrics, advocating for product changes where needed.
• Engage key stakeholders to evaluate data and model readiness, successfully scaling proof-of-concepts into comprehensive solutions.

Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  
• Ability to communicate in English and Portuguese fluently to engage with clients in the region.

Preferred qualifications:

• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  
• Experience leveraging data insights into storytelling for business stakeholders.
• Experience delivering insights from ML to customers (problem scoping/definition, modeling, interpretation).
• Experience using or deploying digital analytics and measurement solutions.
• Industry experience, including: retail, financial services/retail banking, insurance, telecommunications, automotive and Consumer Packaged Goods (CPG).
• Understanding of the statistical algorithms such as Bayesian models typically used in Marketing Analytics and MMMs.

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  
• Ability to communicate in English and Portuguese fluently to engage with clients in the region.