Business and Marketing Data Scientist II

Google’s Business Intelligence Group (BIG) is building a more data-driven, predictive approach to Global Affairs, and this role supports that effort with advanced analytics and applied AI. The Business and Marketing Data Scientist II will partner with leaders and cross-functional teams to design data-driven solutions, including work with large language models, and to translate results into guidance for senior executives.

What you’ll do

• 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 trusted advice to policymakers, building a regulatory and compliance system, and protecting the ability to provide high-quality products.
• Collaborate across teams to tackle AI/ML challenges and opportunities, leveraging LLMs for text analysis and knowledge extraction, and converting business needs into actionable analyses and evaluation metrics.
• Stay current on emerging trends and best practices in data science and business analytics, with guidance.

Qualifications

• Master’s degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 3 years of experience applying analytics to solve product or business problems, including coding (e.g., Python, R, SQL), querying databases or performing statistical analysis, or a relevant PhD degree.
• Experience developing generative AI solutions in a law firm, an in-house legal or compliance department, or within government.

Skills and technologies

• Python, R, SQL
• Large language models (LLMs), AI
• ML/AI, generative AI
• Text analysis, knowledge extraction

About the team

Google’s leadership team hand-picks complex business challenges, and BizOps works in small teams to find solutions. In this role, you will immerse yourself in data collection and analysis, then zoom out to develop synthesized recommendations, communicate them to senior executives, support implementation, and follow up to evaluate impact.

Compensation and location

• Location: Austin, TX (onsite)
• Salary: USD 138,000 - 197,000 per year

Benefits

• Health, dental, vision, life, disability insurance
• 401(k) with company match
• 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• 40 hours/year sick time (increased to 69 hours/year for Seattle), including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• 13 paid holidays per year

Preferred qualifications

• 4 years of experience using analytics to solve product or business problems, including coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.