Senior Business Data Scientist, Agentic AI, Finance

Google is hiring a Senior Business Data Scientist specialized in Agentic AI for its Finance team in the Illinois Medical District, Chicago, US. This role combines advanced analytics, machine learning, and financial expertise to drive strategic decisions.

Key Responsibilities

• Design and implement agentic AI models that automate financial forecasting, risk assessment, and pricing strategies.
• Collaborate with product, engineering, and finance stakeholders to translate business problems into data‑driven solutions.
• Lead end‑to‑end analytics projects, from data acquisition and cleaning to model deployment and monitoring.
• Mentor junior data scientists and analysts, fostering a culture of rigorous experimentation and continuous learning.
• Communicate insights and recommendations to senior leadership through clear visualizations and compelling storytelling.

Required Qualifications

• Master’s degree in Statistics, Engineering, Computer Science, Economics, or a related quantitative field.
• At least 4 years of professional experience applying analytics and machine learning to solve product or business problems.
• Proficiency in Python (pandas, NumPy, scikit‑learn, TensorFlow/PyTorch) and SQL; experience with big‑data platforms (BigQuery, Spark) is a plus.
• Strong understanding of financial concepts such as valuation, risk modeling, and portfolio analysis.
• Demonstrated ability to lead projects, influence cross‑functional teams, and mentor junior colleagues.

Preferred Experience

• Hands‑on experience with agentic or reinforcement learning systems.
• Background in fintech, banking, or capital markets analytics.
• Familiarity with cloud‑based ML pipelines (Google Cloud AI Platform, Vertex AI).

Compensation & Benefits

Base salary: $157,402.17 per year. Google offers comprehensive health, retirement, and wellness benefits, along with generous paid time off and professional development resources.

Frequently Asked Questions

What type of projects will I work on as a Senior Business Data Scientist at Google?

You will develop agentic AI models for financial forecasting, risk assessment, and pricing, while collaborating with product, engineering, and finance teams to turn data insights into business impact.

What qualifications are required for this position?

A Master’s degree in a quantitative field and at least 4 years of experience using analytics and machine learning to solve business problems, plus strong Python and SQL skills.

Is there support for professional growth and mentorship?

Yes, Google encourages mentorship of junior team members and provides extensive learning resources, conferences, and internal training programs.