Senior AI Scientist

Opportunity Overview Are you energized by solving complex problems where the answer isn’t obvious? Do you want to build AI systems that influence decisions at enterprise scale? Are you excited about turning cutting-edge AI into real business impact? If so, this could be the role for you.

As part of the AI, Data, and Emerging Technology Lab within Edward Jones (EJ Labs), you’ll help shape how AI is applied across the firm—building reusable products and platforms that power enterprise decision-making. EJ Labs focuses on translating emerging technologies into practical, scalable solutions that drive growth, efficiency, and client outcomes.

As a Senior AI Scientist, you’ll operate at the intersection of advanced analytics, engineering, and business strategy. You’ll design and deliver production-grade AI capabilities that tackle ambiguous, high-stakes problems—supporting decisions that impact tens of millions of households and more than $2 trillion in assets. This is an opportunity to build durable systems, influence how the firm prioritizes and serves clients, and elevate how modern AI is applied in financial services.

What You’ll DoSolve complex, constrained business problems using advanced algorithms and sound judgment to design effective, scalable solutions

Design and build custom AI and machine learning models and systems, going beyond off-the-shelf approaches to create novel capabilities

Own solutions end-to-end—from problem framing and model development through deployment, monitoring, and continuous improvement

Translate technical insights into clear, compelling narratives that influence business decisions and drive measurable impact

Operate effectively with imperfect and incomplete data, making pragmatic trade-offs while clearly communicating assumptions, risks, and limitations

Apply strong engineering and data practices, including data pipelines, SQL optimization, version control (Git), testing, CI/CD, and production monitoring

Build and deploy solutions in modern cloud and distributed environments (Databricks)
Mentor and elevate others by sharing expertise, improving practices, and raising the bar for technical excellence

Partner across business, analytics, and technology teams to align solutions with enterprise priorities

Manage multiple complex initiatives simultaneously, balancing speed, rigor, and business impact with minimal oversight

What You’ll Work On / Immediate Impact Building AI-powered decisioning systems that inform enterprise strategy and client outcomes

Developing reusable AI products and platforms to accelerate adoption across the firm Designing solutions that leverage advanced analytics, machine learning, and emerging AI capabilities (including GenAI and agentic systems)
Scaling data science solutions into robust, production-ready systems used across the business

Shaping how the firm uses AI to plan, prioritize, and deliver value to clients at scale

Position Requirements What You'll Need9+ years of experience delivering applied data science solutions in real-world environments, including taking work from concept through production

Advanced degree (MS required, PhD preferred) in a quantitative field

Proven track record of solving ambiguous, high-impact business problems requiring custom solution design

Demonstrated ability to drive adoption and influence decisions, ensuring work leads to measurable outcomes

Strong programming skills (Python) with the ability to write production-quality code and mentor others

Deep expertise in statistical modeling and at least two of: ML, AI, GenAI, Optimization, and agentic systems

Experience with large-scale data and distributed compute environments including Databricks Strong foundation in data systems and software development practices, including…