Job Description

This role involves working with Google's BizOps team to tackle complex business challenges using data analytics. Candidates will support the development of data-driven solutions, particularly focusing on large language models and generative AI, while collaborating with cross-functional teams to translate business needs into actionable insights.

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.

Responsibilities

Support the development and implementation of data-driven solutions with a focus on large language models (LLMs) and generative AI to solve key business problems.
Collaborate with cross-functional partners to identify challenges and opportunities, translating business needs into actionable data science solutions.
Contribute to problem solutioning and solution translating, guide projects from ideation to implementation and ensuring complex findings are communicated to both technical and non-technical stakeholders.
Help pioneer 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.

Benefits

Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.