Google

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Chicago, IL, USA.

Minimum qualifications:

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

Preferred qualifications:

• 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• Experience using Generative AI to transform corporate processes.
• Ability to track record of dealing well with ambiguity and delivering quantifiable results in an environment.
• Excellent communication (written and verbal) to translate technical solutions and methodologies to senior leadership.

About the Job

At Google, data drives all of our decision-making. As part of the Finance Data and Analytics (DnA) team, you will use data to inform business, process and product decisions across Google. In this role, you will have the opportunity to incubate AI solutions at scale at Google’s Finance Center of Excellence. As a Data Scientist, you will collaborate with other data scientists, engineers, and program managers to create AI/ML/Agentic solutions that leverage the power of Generative AI to solve business problems. You will demonstrate experience in solving business problems through a product/transformation mindset and deep AI/ML technical knowledge.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Work cross-functionally with analysts, engineers, and program managers to develop and deploy AI/ML solutions.
• Apply a product-driven mindset to transform key business processes through advanced AI/ML.
• Effectively communicate results, technical methodologies, and solutions to peers, stakeholders, and leaders.
• Improve machine learning scalability, usability, and performance through state-of-the-art modeling techniques.
• Quickly and iteratively prototype the art-of-the-possible using AI and ML techniques.