Role Overview
As a Business Data Scientist on the AI Foundations Finance team, you will serve as the quantitative modeling, telemetry, and analytics architect across all AI Foundations Finance pillars. You will build the unified data foundations, predictive forecasts, and Return on Investment (ROI) frameworks that guide executive decision-making.
What You Will Do
Develop predictive models to optimize business processes and drive strategic decision-making. Analyze large datasets to extract actionable insights and identify new growth opportunities. Translate complex data findings into clear recommendations for business stakeholders and executive leadership.
Why It Might Be a Fit
The ideal candidate will have experience with AI products, technologies, and infrastructure, as well as experience with statistical modeling, causal inference, A/B testing, or experimental design. You will also have experience with regression analysis for prediction and forecasting, and applied data analytics.
Requirements
- Master’s degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 3 years of experience with AI products, technologies, and infrastructure.
- Experience with statistical modeling, causal inference, A/B testing, or experimental design.
- Experience with regression analysis for prediction and forecasting.
- Experience with applied data analytics, including designing automated dashboards, data visualizations, and quantitative models to solve business or engineering problems.
Benefits
- 15% bonus target
- equity
- benefits
To apply for this job please visit google.com.
Follow us on social media