Senior AI Scientist

Edward Jones

About The Position

As part of the AI, Data, and Emerging Technology Lab within Edward Jones (EJ Labs), the Senior AI Scientist helps shape how AI is applied across the firm by building reusable products and platforms that power enterprise decision-making. The role translates emerging technologies into practical, scalable solutions that drive growth, efficiency, and client outcomes. Operating at the intersection of advanced analytics, engineering, and business strategy, the Senior AI Scientist designs and delivers production-grade AI capabilities for ambiguous, high-stakes problems. The work supports decisions affecting millions of households and substantial assets, and includes building durable systems, influencing how the firm prioritizes and serves clients, and advancing the application of modern AI in financial services. The position develops AI-powered decisioning systems and reusable AI products, scales data science solutions into production-ready systems, and applies advanced analytics, machine learning, GenAI, and agentic systems to business needs. The role works across business, analytics, and technology teams and mentors colleagues while managing complex initiatives with minimal oversight.

Requirements

9+ years of experience delivering applied data science solutions in real-world environments, including taking work from concept through production.
Advanced degree (MS required) 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 so work leads to measurable outcomes.
Strong Python programming skills, including writing production-quality code and mentoring others.
Deep expertise in statistical modeling and expertise in at least two of machine learning, 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 pipelines, testing, and maintainable codebases.
Ability to learn continuously, innovate, and operate in ambiguous environments while bringing others along.

Nice To Haves

PhD in a quantitative field.
Experience building custom AI solutions in complex or regulated environments.
Ability to bridge advanced technical work with real business impact.
Passion for developing reusable, scalable AI capabilities rather than one-off models.
Track record of influencing senior stakeholders through data-driven storytelling.
Mindset focused on ownership, curiosity, and continuous improvement.

Responsibilities

Solve 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, creating novel capabilities beyond off-the-shelf approaches.
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.
Work with imperfect and incomplete data, make pragmatic trade-offs, and communicate assumptions, risks, and limitations.
Apply 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, including Databricks.
Mentor others by sharing expertise, improving practices, and promoting technical excellence.
Partner with 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.
Build AI-powered decisioning systems that inform enterprise strategy and client outcomes.
Develop reusable AI products and platforms to accelerate adoption across the firm.
Design solutions using advanced analytics, machine learning, and emerging AI capabilities, including GenAI and agentic systems.
Scale data science solutions into robust, production-ready systems used across the business.
Shape how the firm uses AI to plan, prioritize, and deliver value to clients at scale.

Benefits

Medical and prescription drug coverage
Dental insurance
Vision insurance
Voluntary benefits, including accident, hospital indemnity, and critical illness coverage
Short- and long-term disability coverage
Basic life and basic AD&D coverage
401(k) retirement plan
Health savings account
Flexible spending account
Ten paid holidays
15 days of vacation for new associates beginning on January 1 of each year
Sick time
Personal days
Paid day for volunteerism
Potential bonuses and profit sharing
Employee Assistance Program