Business Data Scientist, gTech Data

Requirements:

• Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
• Experience in a data science field.

Nice to Haves:

• 2 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 (NLP) models.
• 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 actively to "problem solutioning" and "solution translating," guiding projects from ideation to implementation and ensuring complex findings are communicated clearly to both technical and non-technical stakeholders.
• Help drive the future of gTech by staying ahead of the curve, applying emerging trends in data science to take on the impossible problems that stand between gTech and success.

Perks and Benefits:

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• Google is proud to be an equal opportunity and affirmative action employer.
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• Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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