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.
Nice to haves:
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 using Natural Language Processing Models (NLP)
Experience solving product or business problems using investigative, machine learning, artificial intelligence, or statistical methods.
What you'll be doing:
Support the development and implementation of cutting-edge, data-driven solutions focusing on large language models (LLMs) and generative AI.
Collaborate with cross-functional partners to identify challenges and opportunities and translate business needs into actionable data science solutions.
Contribute to problem resolutions, guiding projects from ideation to implementation and ensuring clear communication of findings to stakeholders.
Pioneer the future of gTech by applying emerging trends in data science to tackle complex problems.
Perks and benefits:
Opportunity to work in a global team environment.
Direct impact on empowering customers and partners for success in AI/ML.
Contribute to Google Ads products to create useful and trusted experiences.