Business Data Scientist, gData

Requirements:

• 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 with a focus on large language models (LLMs) and generative AI to solve key business problems.
• Collaborate with cross-functional partners in Strategy and Operations, Go-to-Market, gTech, and Engineering to identify challenges and opportunities, translating business needs into actionable data science solutions.
• Contribute to problem resolutions and solution translating, guiding projects from ideation to implementation and ensuring complex findings are communicated clearly to both technical and non-technical stakeholders.
• Help pioneer the future of gTech by applying emerging trends in data science to take on complex problems.

Perks and benefits:

• Google is proud to be an equal opportunity and affirmative action employer.
• Opportunity to work on advanced solutions in machine learning, forecasting, and generative AI.
• Global collaboration and communication opportunities.