Business and Marketing Data Scientist II

About the role

MINIMUM QUALIFICATIONS:

• 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.

• Experience developing generative AI solutions at a law firm, in-house

legal/compliance department, or within government.

PREFERRED QUALIFICATIONS:

• 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.

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.

As a Business Data Scientist, you will help the Business Intelligence Group

(BIG) enable a more data-driven/predictive Global Affairs organization.

Generative Artificial Intelligence (GenAI) is poised to make a significant

impact in Global Affairs. With the power of ML/AI and the knowledge of Google

tools and technologies, your goal is to leverage the GA data ecosystem to drive

decisions for cross-GA strategic initiatives and boost business operations. In

this fast-paced and innovative environment your technical expertise will have a

direct impact on shaping our AI strategy.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Support the development and implementation of data-driven solutions, with a

focus on large language models (LLMs) and AI, to address business problems in

Global Affairs, including providing trusted advice to policymakers, building

an industry-leading regulatory and compliance system, and protecting our

ability to provide high-quality products.

• Work with cross-functional teams to address AI/ML challenges and

opportunities, specifically leveraging LLMs for text analysis and knowledge

extraction, and translating business needs into actionable analyses and

evaluation metrics.

• Stay current on emerging trends and best practices in data science and

business analytics, with guidance.