Business and Marketing Data Scientist II

Join Google in Austin, TX (onsite) as a Business and Marketing Data Scientist II and help the Business Intelligence Group (BIG) build a more data-driven and predictive Global Affairs organization. You will work in small, business-focused teams where technical analysis turns into clear recommendations for senior decision-makers, with a direct path from data collection to measurable impact.

This role supports leadership with challenging business problems by developing data-driven solutions centered on LLMs and AI, improving regulatory and compliance capabilities, and enabling the delivery of high-quality products.

What you’ll do

• Develop and implement data-driven solutions for Global Affairs business problems, including trusted guidance for policymakers.
• Build an industry-leading regulatory and compliance system and help protect the ability to provide high-quality products.
• Collaborate with cross-functional teams to tackle AI/ML challenges and opportunities, leveraging LLMs for text analysis and knowledge extraction.
• Translate business needs into actionable analyses and define evaluation metrics to measure performance.
• Stay current on emerging trends and data science best practices, with guidance.
• Immerse yourself in data collection and analysis, synthesize insights, and communicate recommendations to senior executives.
• Support implementation and revisit results to understand the impact of your recommendations.

What you bring

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

Technologies you’ll work with

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

Compensation & benefits

Salary: USD 138,000 - 197,000 per year.

• Health, dental, vision, life, disability insurance
• 401(k) with company match
• 20 days of vacation per year, accruing at 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 qualification

• 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