Senior Data Scientist, gTech Ads

Requirements:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

Nice to haves:

• Experience delivering insights from ML to customers (e.g., problem scoping/definition, modeling, interpretation).
• Experience using or deploying digital analytics and measurement solutions.
• Experience in Computer Vision and NLP in the context of marketing analytics, with the ability to bring generative AI technologies to customer problems in marketing.
• Knowledge of the statistical algorithms used in Marketing Analytics.
• Ability to communicate in English and German fluently to support client relationship management in this region.

What you'll be doing:

• Lead data science aspects of client engagements in the area of marketing portfolio management.
• Collaborate with customers to resolve their problems and identify the best statistical techniques that can solve the problem, and own the development of modeling framework.
• Engage important stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a solution.
• Work with customer and internal teams to translate data and model results into tactical and strategic insights for decision-making, and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of the Applied DS team, employing methods which create opportunities for scale, and help to drive innovation.

Perks and benefits:

• Opportunity to work at Google.
• Potential working locations in Berlin, Germany, and Hamburg, Germany.
• Competitive salary and benefits package.