Business Data Scientist

Google Boulder, CO, USA; Chicago, IL, USA

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The application window will be open until at least April 21, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Boulder, CO, USA; Chicago, IL, USA.

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

• Experience in one or more discipline areas: machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.

Preferred qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.

• Experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

• Experience using Natural Language Processing models (NLP).

• Experience solving product or business problems using investigative, machine learning, artificial intelligence, or statistical methods, including coding (e.g., Python, R, or SQL).

About the job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

The gDATA team's mission is to solve the complex needs of gTech strategy and operations by using data science to make Google Ads products more usable for customers. By pioneering advanced solutions in machine learning, forecasting, and generative AI, the team empowers customers, agents, and internal partners. Our approach involves identifying key business challenges, developing innovative models, and collaborating closely with partners to translate complex findings into actionable insights.

As a Business Data Scientist on the gDATA team, you will help solve the complex and evolving needs of gTech Strategy and Operations, transforming it into a data-driven powerhouse. In this fast-moving, collaborative environment, your technical skills will have a direct impact on empowering our customers, support agents, and engineering partners for success in the AI/ML age.

The Global Business Organization (GBO) is the engine that powers Google’s full ecosystem of products and services to help customers and partners succeed and grow. GBO includes the commercial arms of Ads sellers, business development teams, and customer services and support, as well as overlay programs that enable coordinated engagement with Google's most complex and important customers and partners.

The US base salary range for this full‑time position is $117,000‑$166,000 + 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

• 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 in gSO, GTM, gTech, and customer engineering to identify challenges and opportunities, translating business needs into actionable data science solutions.

• Contribute to problem solutioning and solution translating, leading 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 staying ahead of the curve, applying emerging trends in data science to take on the impossible problems that stand between gTech and success.

• Help optimize support operations, automate case routing, and make Google Ads products more usable for our customers.

Google is proud to be an equal‑opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national